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Parent(s): 33f543d
Add links to fs methods
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- data/meta.json +1 -1
- data/results_explorer.html +2 -0
- data/stability_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_0/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_0/pareto.html +1 -1
- data/subsets/tasks_all/models_all/budgets_0/per_model_table.html +2 -0
- data/subsets/tasks_all/models_all/budgets_1/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_1/per_model_table.html +2 -0
- data/subsets/tasks_all/models_all/budgets_2/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_2/pareto.html +1 -1
- data/subsets/tasks_all/models_all/budgets_2/per_model_table.html +2 -0
- data/subsets/tasks_all/models_all/budgets_3/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_3/pareto.html +1 -1
- data/subsets/tasks_all/models_all/budgets_3/per_model_table.html +2 -0
- data/subsets/tasks_all/models_all/budgets_4/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_4/pareto.html +1 -1
- data/subsets/tasks_all/models_all/budgets_4/per_model_table.html +2 -0
- data/subsets/tasks_all/models_all/budgets_all/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_all/budgets_all/per_model_table.html +2 -0
- data/subsets/tasks_all/models_lightgbm/budgets_0/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_0/pareto.html +1 -1
- data/subsets/tasks_all/models_lightgbm/budgets_1/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_2/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_3/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_3/pareto.html +1 -1
- data/subsets/tasks_all/models_lightgbm/budgets_4/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_4/pareto.html +1 -1
- data/subsets/tasks_all/models_lightgbm/budgets_all/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_lightgbm/budgets_all/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_0/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_0/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_1/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_1/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_2/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_2/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_3/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_3/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_4/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_4/pareto.html +1 -1
- data/subsets/tasks_all/models_linearmodel/budgets_all/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_linearmodel/budgets_all/pareto.html +1 -1
- data/subsets/tasks_all/models_randomforest/budgets_0/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_randomforest/budgets_0/pareto.html +1 -1
- data/subsets/tasks_all/models_randomforest/budgets_1/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_randomforest/budgets_1/pareto.html +1 -1
- data/subsets/tasks_all/models_randomforest/budgets_2/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_randomforest/budgets_2/pareto.html +1 -1
- data/subsets/tasks_all/models_randomforest/budgets_3/leaderboard_table.html +3 -1
- data/subsets/tasks_all/models_randomforest/budgets_3/pareto.html +1 -1
- data/subsets/tasks_all/models_randomforest/budgets_4/leaderboard_table.html +3 -1
data/meta.json
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{
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"benchmark_name": "feature_selection_benchmark_2026_all",
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"generated_at": "2026-11-04
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"selectarena_version": "0.1.0",
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"n_results": 79873,
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"n_datasets": 71,
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{
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"benchmark_name": "feature_selection_benchmark_2026_all",
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"generated_at": "2026-11-04 21:54 UTC",
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"selectarena_version": "0.1.0",
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"n_results": 79873,
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"n_datasets": 71,
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data/results_explorer.html
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@@ -24,6 +24,8 @@ th[aria-sort] { color:var(--accent); }
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tbody tr:hover { background:var(--soft); }
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tbody tr:last-child td { border-bottom:none; }
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td.method { font-weight:600; }
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td .sub { color:var(--muted); font-size:12px; font-weight:400; margin-left:6px; }
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td.na { color:var(--muted); }
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.pill { display:inline-block; padding:0 8px; border:1px solid var(--line); border-radius:999px;
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tbody tr:hover { background:var(--soft); }
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tbody tr:last-child td { border-bottom:none; }
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td.method { font-weight:600; }
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td.method a.paper { color:inherit; text-decoration:none; border-bottom:1px dotted var(--muted); }
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td.method a.paper:hover { color:var(--accent); border-bottom-color:var(--accent); }
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td .sub { color:var(--muted); font-size:12px; font-weight:400; margin-left:6px; }
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td.na { color:var(--muted); }
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.pill { display:inline-block; padding:0 8px; border:1px solid var(--line); border-radius:999px;
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data/stability_table.html
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@@ -24,6 +24,8 @@ th[aria-sort] { color:var(--accent); }
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tbody tr:hover { background:var(--soft); }
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tbody tr:last-child td { border-bottom:none; }
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td.method { font-weight:600; }
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td .sub { color:var(--muted); font-size:12px; font-weight:400; margin-left:6px; }
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td.na { color:var(--muted); }
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.pill { display:inline-block; padding:0 8px; border:1px solid var(--line); border-radius:999px;
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.pill.cat-baseline { color:var(--muted); }
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.medal { display:inline-block; width:1.4em; text-align:center; font-size:15px; line-height:1; }
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td.shaded { font-weight:600; }
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort.</span><button onclick="saCsv('selectarena_stability.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class=''>Method</th><th class='num' title='Mean over datasets and budgets.'>Stability β</th><th class='num'>Budget 1 (smallest)</th><th class='num'>Budget 2</th><th class='num'>Budget 3</th><th class='num'>Budget 4</th><th class='num'>Budget 5 (largest)</th></tr></thead><tbody><tr><td class='method' data-sort='F-Test'>F-Test</td><td class='num' data-sort='0.679'>0.679</td><td class='num' data-sort='0.7253'>0.725</td><td class='num' data-sort='0.734'>0.734</td><td class='num' data-sort='0.7056'>0.706</td><td class='num' data-sort='0.6678'>0.668</td><td class='num' data-sort='0.5622'>0.562</td></tr><tr><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='num' data-sort='0.6518'>0.652</td><td class='num' data-sort='0.5883'>0.588</td><td class='num' data-sort='0.6445'>0.644</td><td class='num' data-sort='0.6596'>0.660</td><td class='num' data-sort='0.6889'>0.689</td><td class='num' data-sort='0.6777'>0.678</td></tr><tr><td class='method' data-sort='MI'>MI</td><td class='num' data-sort='0.6474'>0.647</td><td class='num' data-sort='0.6455'>0.645</td><td class='num' data-sort='0.6726'>0.673</td><td class='num' data-sort='0.6829'>0.683</td><td class='num' data-sort='0.6494'>0.649</td><td class='num' data-sort='0.5868'>0.587</td></tr><tr><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='num' data-sort='0.646'>0.646</td><td class='num' data-sort='0.6415'>0.641</td><td class='num' data-sort='0.647'>0.647</td><td class='num' data-sort='0.6725'>0.672</td><td class='num' data-sort='0.6563'>0.656</td><td class='num' data-sort='0.6124'>0.612</td></tr><tr><td class='method' data-sort='GainRatio'>GainRatio</td><td class='num' data-sort='0.6441'>0.644</td><td class='num' data-sort='0.6788'>0.679</td><td class='num' data-sort='0.6807'>0.681</td><td class='num' data-sort='0.6703'>0.670</td><td class='num' data-sort='0.641'>0.641</td><td class='num' data-sort='0.5498'>0.550</td></tr><tr><td class='method' data-sort='RFImportance'>RFImportance</td><td class='num' data-sort='0.6432'>0.643</td><td class='num' data-sort='0.6282'>0.628</td><td class='num' data-sort='0.6529'>0.653</td><td class='num' data-sort='0.6762'>0.676</td><td class='num' data-sort='0.6613'>0.661</td><td class='num' data-sort='0.5974'>0.597</td></tr><tr><td class='method' data-sort='mRMR'>mRMR</td><td class='num' data-sort='0.6036'>0.604</td><td class='num' data-sort='0.5276'>0.528</td><td class='num' data-sort='0.5784'>0.578</td><td class='num' data-sort='0.6139'>0.614</td><td class='num' data-sort='0.656'>0.656</td><td class='num' data-sort='0.651'>0.651</td></tr><tr><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='num' data-sort='0.4472'>0.447</td><td class='num' data-sort='0.5094'>0.509</td><td class='num' data-sort='0.5187'>0.519</td><td class='num' data-sort='0.4808'>0.481</td><td class='num' data-sort='0.4188'>0.419</td><td class='num' data-sort='0.3083'>0.308</td></tr><tr><td class='method' data-sort='CART'>CART</td><td class='num' data-sort='0.422'>0.422</td><td class='num' data-sort='0.4838'>0.484</td><td class='num' data-sort='0.4556'>0.456</td><td class='num' data-sort='0.4444'>0.444</td><td class='num' data-sort='0.4018'>0.402</td><td class='num' data-sort='0.3241'>0.324</td></tr><tr><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='num' data-sort='0.413'>0.413</td><td class='num' data-sort='0.4177'>0.418</td><td class='num' data-sort='0.3958'>0.396</td><td class='num' data-sort='0.4132'>0.413</td><td class='num' data-sort='0.4337'>0.434</td><td class='num' data-sort='0.4045'>0.405</td></tr><tr><td class='method' data-sort='Lasso'>Lasso</td><td class='num' data-sort='0.3623'>0.362</td><td class='num' data-sort='0.4208'>0.421</td><td class='num' data-sort='0.4216'>0.422</td><td class='num' data-sort='0.3889'>0.389</td><td class='num' data-sort='0.3343'>0.334</td><td class='num' data-sort='0.2457'>0.246</td></tr><tr><td class='method' data-sort='SFS'>SFS</td><td class='num' data-sort='0.2668'>0.267</td><td class='num' data-sort='0.3677'>0.368</td><td class='num' data-sort='0.2781'>0.278</td><td class='num' data-sort='0.2392'>0.239</td><td class='num' data-sort='0.2248'>0.225</td><td class='num' data-sort='0.1758'>0.176</td></tr><tr><td class='method' data-sort='LOCO'>LOCO</td><td class='num' data-sort='0.1727'>0.173</td><td class='num' data-sort='0.2993'>0.299</td><td class='num' data-sort='0.2199'>0.220</td><td class='num' data-sort='0.1514'>0.151</td><td class='num' data-sort='0.1136'>0.114</td><td class='num' data-sort='0.0795'>0.080</td></tr><tr><td class='method' data-sort='SBE'>SBE</td><td class='num' data-sort='0.1323'>0.132</td><td class='num' data-sort='0.1945'>0.195</td><td class='num' data-sort='0.1753'>0.175</td><td class='num' data-sort='0.1437'>0.144</td><td class='num' data-sort='0.0949'>0.095</td><td class='num' data-sort='0.0594'>0.059</td></tr><tr><td class='method' data-sort='Random'>Random</td><td class='num' data-sort='0.0006'>0.001</td><td class='num' data-sort='-0.0013'>-0.001</td><td class='num' data-sort='0.001'>0.001</td><td class='num' data-sort='-0.0007'>-0.001</td><td class='num' data-sort='0.002'>0.002</td><td class='num' data-sort='0.002'>0.002</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>method,stability,stability_budget_0,stability_budget_1,stability_budget_2,stability_budget_3,stability_budget_4
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F-Test,0.679,0.7253,0.734,0.7056,0.6678,0.5622
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LaplacianScore,0.6518,0.5883,0.6445,0.6596,0.6889,0.6777
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MI,0.6474,0.6455,0.6726,0.6829,0.6494,0.5868
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tbody tr:hover { background:var(--soft); }
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tbody tr:last-child td { border-bottom:none; }
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td.method { font-weight:600; }
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td.method a.paper { color:inherit; text-decoration:none; border-bottom:1px dotted var(--muted); }
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td.method a.paper:hover { color:var(--accent); border-bottom-color:var(--accent); }
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td .sub { color:var(--muted); font-size:12px; font-weight:400; margin-left:6px; }
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td.na { color:var(--muted); }
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.pill { display:inline-block; padding:0 8px; border:1px solid var(--line); border-radius:999px;
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.pill.cat-baseline { color:var(--muted); }
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.medal { display:inline-block; width:1.4em; text-align:center; font-size:15px; line-height:1; }
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td.shaded { font-weight:600; }
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Medals mark the three best methods.</span><button onclick="saCsv('selectarena_stability.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='' title='Medals for the three highest stability values. Click a method to open its paper.'>Method</th><th class='num' title='Mean over datasets and budgets.'>Stability β</th><th class='num'>Budget 1 (smallest)</th><th class='num'>Budget 2</th><th class='num'>Budget 3</th><th class='num'>Budget 4</th><th class='num'>Budget 5 (largest)</th></tr></thead><tbody><tr><td class='method' data-sort='F-Test'><span class='medal' role='img' aria-label='gold medal'>π₯</span><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='num' data-sort='0.679'>0.679</td><td class='num' data-sort='0.7253'>0.725</td><td class='num' data-sort='0.734'>0.734</td><td class='num' data-sort='0.7056'>0.706</td><td class='num' data-sort='0.6678'>0.668</td><td class='num' data-sort='0.5622'>0.562</td></tr><tr><td class='method' data-sort='LaplacianScore'><span class='medal' role='img' aria-label='silver medal'>π₯</span><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='num' data-sort='0.6518'>0.652</td><td class='num' data-sort='0.5883'>0.588</td><td class='num' data-sort='0.6445'>0.644</td><td class='num' data-sort='0.6596'>0.660</td><td class='num' data-sort='0.6889'>0.689</td><td class='num' data-sort='0.6777'>0.678</td></tr><tr><td class='method' data-sort='MI'><span class='medal' role='img' aria-label='bronze medal'>π₯</span><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='num' data-sort='0.6474'>0.647</td><td class='num' data-sort='0.6455'>0.645</td><td class='num' data-sort='0.6726'>0.673</td><td class='num' data-sort='0.6829'>0.683</td><td class='num' data-sort='0.6494'>0.649</td><td class='num' data-sort='0.5868'>0.587</td></tr><tr><td class='method' data-sort='(R)ReliefF'><span class='medal'></span><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='num' data-sort='0.646'>0.646</td><td class='num' data-sort='0.6415'>0.641</td><td class='num' data-sort='0.647'>0.647</td><td class='num' data-sort='0.6725'>0.672</td><td class='num' data-sort='0.6563'>0.656</td><td class='num' data-sort='0.6124'>0.612</td></tr><tr><td class='method' data-sort='GainRatio'><span class='medal'></span><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='num' data-sort='0.6441'>0.644</td><td class='num' data-sort='0.6788'>0.679</td><td class='num' data-sort='0.6807'>0.681</td><td class='num' data-sort='0.6703'>0.670</td><td class='num' data-sort='0.641'>0.641</td><td class='num' data-sort='0.5498'>0.550</td></tr><tr><td class='method' data-sort='RFImportance'><span class='medal'></span><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='num' data-sort='0.6432'>0.643</td><td class='num' data-sort='0.6282'>0.628</td><td class='num' data-sort='0.6529'>0.653</td><td class='num' data-sort='0.6762'>0.676</td><td class='num' data-sort='0.6613'>0.661</td><td class='num' data-sort='0.5974'>0.597</td></tr><tr><td class='method' data-sort='mRMR'><span class='medal'></span><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='num' data-sort='0.6036'>0.604</td><td class='num' data-sort='0.5276'>0.528</td><td class='num' data-sort='0.5784'>0.578</td><td class='num' data-sort='0.6139'>0.614</td><td class='num' data-sort='0.656'>0.656</td><td class='num' data-sort='0.651'>0.651</td></tr><tr><td class='method' data-sort='ElasticNet'><span class='medal'></span><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='num' data-sort='0.4472'>0.447</td><td class='num' data-sort='0.5094'>0.509</td><td class='num' data-sort='0.5187'>0.519</td><td class='num' data-sort='0.4808'>0.481</td><td class='num' data-sort='0.4188'>0.419</td><td class='num' data-sort='0.3083'>0.308</td></tr><tr><td class='method' data-sort='CART'><span class='medal'></span><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='num' data-sort='0.422'>0.422</td><td class='num' data-sort='0.4838'>0.484</td><td class='num' data-sort='0.4556'>0.456</td><td class='num' data-sort='0.4444'>0.444</td><td class='num' data-sort='0.4018'>0.402</td><td class='num' data-sort='0.3241'>0.324</td></tr><tr><td class='method' data-sort='MarkovBlanket'><span class='medal'></span><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='num' data-sort='0.413'>0.413</td><td class='num' data-sort='0.4177'>0.418</td><td class='num' data-sort='0.3958'>0.396</td><td class='num' data-sort='0.4132'>0.413</td><td class='num' data-sort='0.4337'>0.434</td><td class='num' data-sort='0.4045'>0.405</td></tr><tr><td class='method' data-sort='Lasso'><span class='medal'></span><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='num' data-sort='0.3623'>0.362</td><td class='num' data-sort='0.4208'>0.421</td><td class='num' data-sort='0.4216'>0.422</td><td class='num' data-sort='0.3889'>0.389</td><td class='num' data-sort='0.3343'>0.334</td><td class='num' data-sort='0.2457'>0.246</td></tr><tr><td class='method' data-sort='SFS'><span class='medal'></span><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='num' data-sort='0.2668'>0.267</td><td class='num' data-sort='0.3677'>0.368</td><td class='num' data-sort='0.2781'>0.278</td><td class='num' data-sort='0.2392'>0.239</td><td class='num' data-sort='0.2248'>0.225</td><td class='num' data-sort='0.1758'>0.176</td></tr><tr><td class='method' data-sort='LOCO'><span class='medal'></span><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='num' data-sort='0.1727'>0.173</td><td class='num' data-sort='0.2993'>0.299</td><td class='num' data-sort='0.2199'>0.220</td><td class='num' data-sort='0.1514'>0.151</td><td class='num' data-sort='0.1136'>0.114</td><td class='num' data-sort='0.0795'>0.080</td></tr><tr><td class='method' data-sort='SBE'><span class='medal'></span><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='num' data-sort='0.1323'>0.132</td><td class='num' data-sort='0.1945'>0.195</td><td class='num' data-sort='0.1753'>0.175</td><td class='num' data-sort='0.1437'>0.144</td><td class='num' data-sort='0.0949'>0.095</td><td class='num' data-sort='0.0594'>0.059</td></tr><tr><td class='method' data-sort='Random'><span class='medal'></span>Random</td><td class='num' data-sort='0.0006'>0.001</td><td class='num' data-sort='-0.0013'>-0.001</td><td class='num' data-sort='0.001'>0.001</td><td class='num' data-sort='-0.0007'>-0.001</td><td class='num' data-sort='0.002'>0.002</td><td class='num' data-sort='0.002'>0.002</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>method,stability,stability_budget_0,stability_budget_1,stability_budget_2,stability_budget_3,stability_budget_4
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F-Test,0.679,0.7253,0.734,0.7056,0.6678,0.5622
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LaplacianScore,0.6518,0.5883,0.6445,0.6596,0.6889,0.6777
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MI,0.6474,0.6455,0.6726,0.6829,0.6494,0.5868
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1343.0'>1343<span class='sub'>+52 / β46</span></td><td class='num' data-sort='29.9'>29.9</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1315.0'>1315<span class='sub'>+47 / β42</span></td><td class='num' data-sort='27.6'>27.6</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1308.0'>1308<span class='sub'>+44 / β41</span></td><td class='num' data-sort='26.8'>26.8</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+41 / β40</span></td><td class='num' data-sort='28.3'>28.3</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+34 / β35</span></td><td class='num' data-sort='28.7'>28.7</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1284.0'>1284<span class='sub'>+42 / β40</span></td><td class='num' data-sort='25.6'>25.6</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='7.5'>7.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1270.0'>1270<span class='sub'>+44 / β46</span></td><td class='num' data-sort='23.7'>23.7</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='941.9'>941.9</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1255.0'>1255<span class='sub'>+39 / β38</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1250.0'>1250<span class='sub'>+36 / β41</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.2'>2.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1242.0'>1242<span class='sub'>+37 / β39</span></td><td class='num' data-sort='23.6'>23.6</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1206.0'>1206<span class='sub'>+44 / β45</span></td><td class='num' data-sort='20.4'>20.4</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='14.2'>14.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+48 / β47</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3579.1'>3,579.1</td><td class='num' data-sort='49.6'>49.6</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+42 / β41</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+46 / β54</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='963.0'>963<span class='sub'>+61 / β72</span></td><td class='num' data-sort='-14.7'>-14.7</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1343.0,1297.0,1395.0,29.9,0.628,0.805,0.2,0.0
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2,CART,Non-search,Tree,1315.0,1273.0,1362.0,27.6,0.484,0.731,0.1,0.0
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3,MarkovBlanket,Search,Backward search,1308.0,1267.0,1352.0,26.8,0.418,0.465,0.2,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1343.0'>1343<span class='sub'>+52 / β46</span></td><td class='num' data-sort='29.9'>29.9</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1315.0'>1315<span class='sub'>+47 / β42</span></td><td class='num' data-sort='27.6'>27.6</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1308.0'>1308<span class='sub'>+44 / β41</span></td><td class='num' data-sort='26.8'>26.8</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+41 / β40</span></td><td class='num' data-sort='28.3'>28.3</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+34 / β35</span></td><td class='num' data-sort='28.7'>28.7</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1284.0'>1284<span class='sub'>+42 / β40</span></td><td class='num' data-sort='25.6'>25.6</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='7.5'>7.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1270.0'>1270<span class='sub'>+44 / β46</span></td><td class='num' data-sort='23.7'>23.7</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='941.9'>941.9</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1255.0'>1255<span class='sub'>+39 / β38</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1250.0'>1250<span class='sub'>+36 / β41</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.2'>2.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1242.0'>1242<span class='sub'>+37 / β39</span></td><td class='num' data-sort='23.6'>23.6</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1206.0'>1206<span class='sub'>+44 / β45</span></td><td class='num' data-sort='20.4'>20.4</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='14.2'>14.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+48 / β47</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3579.1'>3,579.1</td><td class='num' data-sort='49.6'>49.6</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+42 / β41</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+46 / β54</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='963.0'>963<span class='sub'>+61 / β72</span></td><td class='num' data-sort='-14.7'>-14.7</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1343.0,1297.0,1395.0,29.9,0.628,0.805,0.2,0.0
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2,CART,Non-search,Tree,1315.0,1273.0,1362.0,27.6,0.484,0.731,0.1,0.0
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| 40 |
3,MarkovBlanket,Search,Backward search,1308.0,1267.0,1352.0,26.8,0.418,0.465,0.2,0.0
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class='sa-dim sa-halo' x='794.5' y='58.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='454.0' y1='79.6' x2='552.2' y2='117.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='552.2' y='117.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='684.5' y1='94.4' x2='723.4' y2='120.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='723.4' y='120.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='778.9' y1='98.7' x2='806.0' y2='86.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='806.0' y='86.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='442.0' y1='100.3' x2='413.7' y2='121.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='413.7' y='121.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='797.0' y='149.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='731.5' y1='188.2' x2='698.7' y2='201.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='698.7' y='201.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='812.3' y1='218.4' x2='787.8' y2='232.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='787.8' y='232.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.5' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='496.6' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 29.9% Selection time per 1k features: 45 s Datasets: 71 Next to MI: 28.7%, 51.4 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 29.9% Selection time per 1k features: 45 s Datasets: 71 Next to MI: 28.7%, 51.4 s'/><circle class='sa-hit' cx='502.9' cy='45.6' r='10.5' data-tip='MI Improvement over Random: 28.7% Selection time per 1k features: 51.4 s Datasets: 71 Next to RFImportance: 29.9%, 45 s' aria-label='MI Improvement over Random: 28.7% Selection time per 1k features: 51.4 s Datasets: 71 Next to RFImportance: 29.9%, 45 s'/><circle class='sa-hit' cx='305.1' cy='49.9' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 28.3% Selection time per 1k features: 0.802 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 28.3% Selection time per 1k features: 0.802 s Datasets: 71'/><circle class='sa-hit' cx='446.4' cy='57.0' r='10.5' data-tip='CART Improvement over Random: 27.6% Selection time per 1k features: 15.7 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s' aria-label='CART Improvement over Random: 27.6% Selection time per 1k features: 15.7 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s'/><circle class='sa-hit' cx='461.7' cy='65.6' r='10.5' data-tip='MarkovBlanket Improvement over Random: 26.8% Selection time per 1k features: 21.6 s Datasets: 71 Next to CART: 27.6%, 15.7 s Next to mRMR: 25.5%, 18.4 s' aria-label='MarkovBlanket Improvement over Random: 26.8% Selection time per 1k features: 21.6 s Datasets: 71 Next to CART: 27.6%, 15.7 s Next to mRMR: 25.5%, 18.4 s'/><circle class='sa-hit' cx='686.3' cy='78.3' r='10.5' data-tip='ElasticNet Improvement over Random: 25.6% Selection time per 1k features: 2.43e+03 s Datasets: 71 Next to Lasso: 24.1%, 2.35e+03 s' aria-label='ElasticNet Improvement over Random: 25.6% Selection time per 1k features: 2.43e+03 s Datasets: 71 Next to Lasso: 24.1%, 2.35e+03 s'/><circle class='sa-hit' cx='454.0' cy='79.6' r='10.5' data-tip='mRMR Improvement over Random: 25.5% Selection time per 1k features: 18.4 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s' aria-label='mRMR Improvement over Random: 25.5% Selection time per 1k features: 18.4 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s'/><circle class='sa-hit' cx='684.5' cy='94.4' r='10.5' data-tip='Lasso Improvement over Random: 24.1% Selection time per 1k features: 2.35e+03 s Datasets: 71 Next to ElasticNet: 25.6%, 2.43e+03 s' aria-label='Lasso Improvement over Random: 24.1% Selection time per 1k features: 2.35e+03 s Datasets: 71 Next to ElasticNet: 25.6%, 2.43e+03 s'/><circle class='sa-hit' cx='778.9' cy='98.7' r='10.5' data-tip='SFS Improvement over Random: 23.7% Selection time per 1k features: 1.71e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 23.7% Selection time per 1k features: 1.71e+04 s Datasets: 71'/><circle class='sa-hit' cx='442.0' cy='100.3' r='10.5' data-tip='GainRatio Improvement over Random: 23.6% Selection time per 1k features: 14.3 s Datasets: 71' aria-label='GainRatio Improvement over Random: 23.6% Selection time per 1k features: 14.3 s Datasets: 71'/><circle class='sa-hit' cx='795.9' cy='133.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 20.4% Selection time per 1k features: 2.44e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 20.4% Selection time per 1k features: 2.44e+04 s Datasets: 71'/><circle class='sa-hit' cx='731.5' cy='188.2' r='10.5' data-tip='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.3e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.3e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='218.4' r='10.5' data-tip='SBE Improvement over Random: 12.5% Selection time per 1k features: 3.45e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 12.5% Selection time per 1k features: 3.45e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0113 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0113 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,29.9487,44.9997,71,True
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MI,28.6934,51.3992,71,False
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F-Test,28.2875,0.8021,71,True
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</style><line class='sa-grid' x1='96.7' x2='96.7' y1='16.2' y2='368.0'/><text class='sa-text' x='96.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='206.1' x2='206.1' y1='16.2' y2='368.0'/><text class='sa-text' x='206.1' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='315.6' x2='315.6' y1='16.2' y2='368.0'/><text class='sa-text' x='315.6' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='425.1' x2='425.1' y1='16.2' y2='368.0'/><text class='sa-text' x='425.1' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='534.5' x2='534.5' y1='16.2' y2='368.0'/><text class='sa-text' x='534.5' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='644.0' x2='644.0' y1='16.2' y2='368.0'/><text class='sa-text' x='644.0' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='753.5' x2='753.5' y1='16.2' y2='368.0'/><text class='sa-text' x='753.5' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='67.0' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='58.0' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='67.0' x2='847.8' y1='298.6' y2='298.6'/><text class='sa-text' x='58.0' y='304.6' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='67.0' x2='847.8' y1='245.2' y2='245.2'/><text class='sa-text' x='58.0' y='251.2' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='67.0' x2='847.8' y1='191.8' y2='191.8'/><text class='sa-text' x='58.0' y='197.8' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='67.0' x2='847.8' y1='138.4' y2='138.4'/><text class='sa-text' x='58.0' y='144.4' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='85.0' y2='85.0'/><text class='sa-text' x='58.0' y='91.0' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='31.6' y2='31.6'/><text class='sa-text' x='58.0' y='37.6' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='16.2' width='780.8' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='51.9' x2='69.0' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.6' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.5,352.0 305.1,49.9 496.6,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='496.6' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='502.9' cy='45.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='305.1' cy='49.9' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='446.4' cy='57.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='461.7' cy='65.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='686.3' cy='78.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='454.0' cy='79.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='684.5' cy='94.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='778.9' cy='98.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='442.0' cy='100.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.9' cy='133.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='731.5' cy='188.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='218.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.5' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='496.6' y1='32.2' x2='587.9' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='587.9' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='502.9' y1='45.6' x2='582.9' y2='53.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='582.9' y='53.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='305.1' y1='49.9' x2='265.5' y2='63.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='265.5' y='63.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='446.4' y1='57.0' x2='416.8' y2='42.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='416.8' y='42.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='461.7' y1='65.6' x2='586.5' y2='93.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='586.5' y='93.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='686.3' y1='78.3' x2='794.5' y2='52.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='794.5' y='52.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='454.0' y1='79.6' x2='556.0' y2='123.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='556.0' y='123.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='684.5' y1='94.4' x2='729.1' y2='121.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='729.1' y='121.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='778.9' y1='98.7' x2='802.2' y2='89.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='802.2' y='89.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='442.0' y1='100.3' x2='408.7' y2='124.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='408.7' y='124.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='795.9' y1='133.8' x2='797.0' y2='155.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='797.0' y='155.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='731.5' y1='188.2' x2='698.7' y2='201.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='698.7' y='201.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='812.3' y1='218.4' x2='787.8' y2='232.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='787.8' y='232.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.5' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='496.6' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 29.9% Selection time per 1k features: 45 s Datasets: 71 Next to MI: 28.7%, 51.4 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 29.9% Selection time per 1k features: 45 s Datasets: 71 Next to MI: 28.7%, 51.4 s'/><circle class='sa-hit' cx='502.9' cy='45.6' r='10.5' data-tip='MI Improvement over Random: 28.7% Selection time per 1k features: 51.4 s Datasets: 71 Next to RFImportance: 29.9%, 45 s' aria-label='MI Improvement over Random: 28.7% Selection time per 1k features: 51.4 s Datasets: 71 Next to RFImportance: 29.9%, 45 s'/><circle class='sa-hit' cx='305.1' cy='49.9' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 28.3% Selection time per 1k features: 0.802 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 28.3% Selection time per 1k features: 0.802 s Datasets: 71'/><circle class='sa-hit' cx='446.4' cy='57.0' r='10.5' data-tip='CART Improvement over Random: 27.6% Selection time per 1k features: 15.7 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s' aria-label='CART Improvement over Random: 27.6% Selection time per 1k features: 15.7 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s'/><circle class='sa-hit' cx='461.7' cy='65.6' r='10.5' data-tip='MarkovBlanket Improvement over Random: 26.8% Selection time per 1k features: 21.6 s Datasets: 71 Next to CART: 27.6%, 15.7 s Next to mRMR: 25.5%, 18.4 s' aria-label='MarkovBlanket Improvement over Random: 26.8% Selection time per 1k features: 21.6 s Datasets: 71 Next to CART: 27.6%, 15.7 s Next to mRMR: 25.5%, 18.4 s'/><circle class='sa-hit' cx='686.3' cy='78.3' r='10.5' data-tip='ElasticNet Improvement over Random: 25.6% Selection time per 1k features: 2.43e+03 s Datasets: 71 Next to Lasso: 24.1%, 2.35e+03 s' aria-label='ElasticNet Improvement over Random: 25.6% Selection time per 1k features: 2.43e+03 s Datasets: 71 Next to Lasso: 24.1%, 2.35e+03 s'/><circle class='sa-hit' cx='454.0' cy='79.6' r='10.5' data-tip='mRMR Improvement over Random: 25.5% Selection time per 1k features: 18.4 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s' aria-label='mRMR Improvement over Random: 25.5% Selection time per 1k features: 18.4 s Datasets: 71 Next to MarkovBlanket: 26.8%, 21.6 s'/><circle class='sa-hit' cx='684.5' cy='94.4' r='10.5' data-tip='Lasso Improvement over Random: 24.1% Selection time per 1k features: 2.35e+03 s Datasets: 71 Next to ElasticNet: 25.6%, 2.43e+03 s' aria-label='Lasso Improvement over Random: 24.1% Selection time per 1k features: 2.35e+03 s Datasets: 71 Next to ElasticNet: 25.6%, 2.43e+03 s'/><circle class='sa-hit' cx='778.9' cy='98.7' r='10.5' data-tip='SFS Improvement over Random: 23.7% Selection time per 1k features: 1.71e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 23.7% Selection time per 1k features: 1.71e+04 s Datasets: 71'/><circle class='sa-hit' cx='442.0' cy='100.3' r='10.5' data-tip='GainRatio Improvement over Random: 23.6% Selection time per 1k features: 14.3 s Datasets: 71' aria-label='GainRatio Improvement over Random: 23.6% Selection time per 1k features: 14.3 s Datasets: 71'/><circle class='sa-hit' cx='795.9' cy='133.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 20.4% Selection time per 1k features: 2.44e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 20.4% Selection time per 1k features: 2.44e+04 s Datasets: 71'/><circle class='sa-hit' cx='731.5' cy='188.2' r='10.5' data-tip='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.3e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.3e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='218.4' r='10.5' data-tip='SBE Improvement over Random: 12.5% Selection time per 1k features: 3.45e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 12.5% Selection time per 1k features: 3.45e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0113 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0113 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,29.9487,44.9997,71,True
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MI,28.6934,51.3992,71,False
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F-Test,28.2875,0.8021,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+45 / β44</span></td><td class='num' data-sort='29.3'>29.3</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1346.0'>1346<span class='sub'>+42 / β43</span></td><td class='num' data-sort='26.0'>26.0</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1335.0'>1335<span class='sub'>+40 / β39</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1323.0'>1323<span class='sub'>+44 / β43</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.3'>2.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1316.0'>1316<span class='sub'>+34 / β30</span></td><td class='num' data-sort='27.5'>27.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1307.0'>1307<span class='sub'>+36 / β33</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1298.0'>1298<span class='sub'>+36 / β40</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+34 / β36</span></td><td class='num' data-sort='23.7'>23.7</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1268.0'>1268<span class='sub'>+39 / β40</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+40 / β39</span></td><td class='num' data-sort='21.3'>21.3</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1256.0'>1256<span class='sub'>+43 / β44</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1634.9'>1,634.9</td><td class='num' data-sort='43.8'>43.8</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1227.0'>1227<span class='sub'>+49 / β50</span></td><td class='num' data-sort='14.7'>14.7</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3166.2'>3,166.2</td><td class='num' data-sort='48.9'>48.9</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1219.0'>1219<span class='sub'>+43 / β42</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='237.3'>237.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1025.0'>1025<span class='sub'>+52 / β64</span></td><td class='num' data-sort='-22.8'>-22.8</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+41 / β47</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 36 |
1,RFImportance,Non-search,Tree,1366.0,1322.0,1411.0,29.3,0.653,0.741,0.2,0.0
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2,ElasticNet,Non-search,Regularization,1346.0,1303.0,1388.0,26.0,0.519,0.873,7.6,0.0
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3,CART,Non-search,Tree,1335.0,1296.0,1375.0,27.1,0.456,0.638,0.1,0.0
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+
</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+45 / β44</span></td><td class='num' data-sort='29.3'>29.3</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1346.0'>1346<span class='sub'>+42 / β43</span></td><td class='num' data-sort='26.0'>26.0</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1335.0'>1335<span class='sub'>+40 / β39</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1323.0'>1323<span class='sub'>+44 / β43</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.3'>2.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1316.0'>1316<span class='sub'>+34 / β30</span></td><td class='num' data-sort='27.5'>27.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1307.0'>1307<span class='sub'>+36 / β33</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1298.0'>1298<span class='sub'>+36 / β40</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+34 / β36</span></td><td class='num' data-sort='23.7'>23.7</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1268.0'>1268<span class='sub'>+39 / β40</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+40 / β39</span></td><td class='num' data-sort='21.3'>21.3</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1256.0'>1256<span class='sub'>+43 / β44</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1634.9'>1,634.9</td><td class='num' data-sort='43.8'>43.8</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1227.0'>1227<span class='sub'>+49 / β50</span></td><td class='num' data-sort='14.7'>14.7</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3166.2'>3,166.2</td><td class='num' data-sort='48.9'>48.9</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1219.0'>1219<span class='sub'>+43 / β42</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='237.3'>237.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1025.0'>1025<span class='sub'>+52 / β64</span></td><td class='num' data-sort='-22.8'>-22.8</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+41 / β47</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1366.0,1322.0,1411.0,29.3,0.653,0.741,0.2,0.0
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2,ElasticNet,Non-search,Regularization,1346.0,1303.0,1388.0,26.0,0.519,0.873,7.6,0.0
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| 40 |
3,CART,Non-search,Tree,1335.0,1296.0,1375.0,27.1,0.456,0.638,0.1,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+45 / β39</span></td><td class='num' data-sort='24.3'>24.3</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1278.0'>1278<span class='sub'>+42 / β37</span></td><td class='num' data-sort='20.5'>20.5</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+42 / β43</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1272.0'>1272<span class='sub'>+40 / β37</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1249.0'>1249<span class='sub'>+40 / β45</span></td><td class='num' data-sort='18.3'>18.3</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1237.0'>1237<span class='sub'>+32 / β34</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1223.0'>1223<span class='sub'>+36 / β35</span></td><td class='num' data-sort='18.3'>18.3</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1210.0'>1210<span class='sub'>+39 / β38</span></td><td class='num' data-sort='18.5'>18.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='14.4'>14.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1194.0'>1194<span class='sub'>+38 / β37</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+45 / β46</span></td><td class='num' data-sort='10.4'>10.4</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2621.7'>2,621.7</td><td class='num' data-sort='47.8'>47.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+35 / β37</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1175.0'>1175<span class='sub'>+37 / β42</span></td><td class='num' data-sort='13.6'>13.6</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2398.9'>2,398.9</td><td class='num' data-sort='47.2'>47.2</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1157.0'>1157<span class='sub'>+40 / β41</span></td><td class='num' data-sort='9.3'>9.3</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='241.3'>241.3</td><td class='num' data-sort='6.8'>6.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+42 / β49</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='930.0'>930<span class='sub'>+54 / β71</span></td><td class='num' data-sort='-58.2'>-58.2</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1325.0,1286.0,1370.0,24.3,0.676,0.691,0.2,0.0
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2,CART,Non-search,Tree,1278.0,1241.0,1320.0,20.5,0.444,0.572,0.1,0.0
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3,ElasticNet,Non-search,Regularization,1273.0,1230.0,1315.0,19.8,0.481,0.777,7.6,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+45 / β39</span></td><td class='num' data-sort='24.3'>24.3</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1278.0'>1278<span class='sub'>+42 / β37</span></td><td class='num' data-sort='20.5'>20.5</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+42 / β43</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1272.0'>1272<span class='sub'>+40 / β37</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1249.0'>1249<span class='sub'>+40 / β45</span></td><td class='num' data-sort='18.3'>18.3</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1237.0'>1237<span class='sub'>+32 / β34</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1223.0'>1223<span class='sub'>+36 / β35</span></td><td class='num' data-sort='18.3'>18.3</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1210.0'>1210<span class='sub'>+39 / β38</span></td><td class='num' data-sort='18.5'>18.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='14.4'>14.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1194.0'>1194<span class='sub'>+38 / β37</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+45 / β46</span></td><td class='num' data-sort='10.4'>10.4</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2621.7'>2,621.7</td><td class='num' data-sort='47.8'>47.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+35 / β37</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1175.0'>1175<span class='sub'>+37 / β42</span></td><td class='num' data-sort='13.6'>13.6</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2398.9'>2,398.9</td><td class='num' data-sort='47.2'>47.2</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1157.0'>1157<span class='sub'>+40 / β41</span></td><td class='num' data-sort='9.3'>9.3</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='241.3'>241.3</td><td class='num' data-sort='6.8'>6.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+42 / β49</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='930.0'>930<span class='sub'>+54 / β71</span></td><td class='num' data-sort='-58.2'>-58.2</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1325.0,1286.0,1370.0,24.3,0.676,0.691,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1278.0,1241.0,1320.0,20.5,0.444,0.572,0.1,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1273.0,1230.0,1315.0,19.8,0.481,0.777,7.6,0.0
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RFImportance,24.3008,45.0766,71,True
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MI,20.8893,51.2055,71,False
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y1='88.8' y2='88.8'/><text class='sa-text' x='57.9' y='94.8' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='66.9' x2='847.8' y1='23.0' y2='23.0'/><text class='sa-text' x='57.9' y='29.0' text-anchor='end' font-size='15'>25</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' 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Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='517.4' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 24.3% Selection time per 1k features: 45.1 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 24.3% Selection time per 1k features: 45.1 s Datasets: 71'/><circle class='sa-hit' cx='523.2' cy='77.1' r='10.5' data-tip='MI Improvement over Random: 20.9% Selection time per 1k features: 51.2 s Datasets: 71' aria-label='MI Improvement over Random: 20.9% Selection time per 1k features: 51.2 s Datasets: 71'/><circle class='sa-hit' cx='469.8' cy='82.6' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 20.5% Selection time per 1k features: 15.8 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 20.5% Selection time per 1k features: 15.8 s Datasets: 71'/><circle class='sa-hit' cx='697.8' cy='91.9' r='10.5' data-tip='ElasticNet Improvement over Random: 19.8% Selection time per 1k features: 2.4e+03 s Datasets: 71 Next to Lasso: 18.3%, 2.4e+03 s' aria-label='ElasticNet Improvement over Random: 19.8% Selection time per 1k features: 2.4e+03 s Datasets: 71 Next to Lasso: 18.3%, 2.4e+03 s'/><circle class='sa-hit' cx='803.0' cy='108.3' r='10.5' data-tip='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.44e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.44e+04 s Datasets: 71'/><circle class='sa-hit' cx='697.7' cy='111.1' r='10.5' data-tip='Lasso Improvement over Random: 18.3% Selection time per 1k features: 2.4e+03 s Datasets: 71 Next to ElasticNet: 19.8%, 2.4e+03 s' aria-label='Lasso Improvement over Random: 18.3% Selection time per 1k features: 2.4e+03 s Datasets: 71 Next to ElasticNet: 19.8%, 2.4e+03 s'/><circle class='sa-hit' 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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1288.0'>1288<span class='sub'>+43 / β40</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1232.0'>1232<span class='sub'>+40 / β31</span></td><td class='num' data-sort='14.4'>14.4</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1218.0'>1218<span class='sub'>+38 / β35</span></td><td class='num' data-sort='14.2'>14.2</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1212.0'>1212<span class='sub'>+39 / β41</span></td><td class='num' data-sort='13.5'>13.5</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+38 / β38</span></td><td class='num' data-sort='12.6'>12.6</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+33 / β32</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+38 / β35</span></td><td class='num' data-sort='12.9'>12.9</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1158.0'>1158<span class='sub'>+31 / β36</span></td><td class='num' data-sort='11.3'>11.3</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1155.0'>1155<span class='sub'>+44 / β49</span></td><td class='num' data-sort='6.3'>6.3</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1890.2'>1,890.2</td><td class='num' data-sort='44.9'>44.9</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1155.0'>1155<span class='sub'>+35 / β36</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1134.0'>1134<span class='sub'>+34 / β34</span></td><td class='num' data-sort='11.6'>11.6</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1127.0'>1127<span class='sub'>+38 / β36</span></td><td class='num' data-sort='5.0'>5.0</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='246.0'>246.0</td><td class='num' data-sort='12.3'>12.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1124.0'>1124<span class='sub'>+33 / β36</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2771.3'>2,771.3</td><td class='num' data-sort='48.7'>48.7</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+40 / β46</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='929.0'>929<span class='sub'>+52 / β60</span></td><td class='num' data-sort='-89.9'>-89.9</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1288.0,1248.0,1331.0,18.0,0.661,0.6,0.2,0.0
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2,CART,Non-search,Tree,1232.0,1201.0,1272.0,14.4,0.402,0.507,0.1,0.0
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3,MI,Non-search,Information theory,1218.0,1183.0,1256.0,14.2,0.649,0.723,0.4,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1288.0'>1288<span class='sub'>+43 / β40</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1232.0'>1232<span class='sub'>+40 / β31</span></td><td class='num' data-sort='14.4'>14.4</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1218.0'>1218<span class='sub'>+38 / β35</span></td><td class='num' data-sort='14.2'>14.2</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1212.0'>1212<span class='sub'>+39 / β41</span></td><td class='num' data-sort='13.5'>13.5</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+38 / β38</span></td><td class='num' data-sort='12.6'>12.6</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+33 / β32</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+38 / β35</span></td><td class='num' data-sort='12.9'>12.9</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1158.0'>1158<span class='sub'>+31 / β36</span></td><td class='num' data-sort='11.3'>11.3</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1155.0'>1155<span class='sub'>+44 / β49</span></td><td class='num' data-sort='6.3'>6.3</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1890.2'>1,890.2</td><td class='num' data-sort='44.9'>44.9</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1155.0'>1155<span class='sub'>+35 / β36</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1134.0'>1134<span class='sub'>+34 / β34</span></td><td class='num' data-sort='11.6'>11.6</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1127.0'>1127<span class='sub'>+38 / β36</span></td><td class='num' data-sort='5.0'>5.0</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='246.0'>246.0</td><td class='num' data-sort='12.3'>12.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1124.0'>1124<span class='sub'>+33 / β36</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2771.3'>2,771.3</td><td class='num' data-sort='48.7'>48.7</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+40 / β46</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='929.0'>929<span class='sub'>+52 / β60</span></td><td class='num' data-sort='-89.9'>-89.9</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1288.0,1248.0,1331.0,18.0,0.661,0.6,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1232.0,1201.0,1272.0,14.4,0.402,0.507,0.1,0.0
|
| 40 |
3,MI,Non-search,Information theory,1218.0,1183.0,1256.0,14.2,0.649,0.723,0.4,0.0
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y1='173.9' y2='173.9'/><text class='sa-text' x='72.3' y='179.9' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='81.3' x2='847.8' y1='129.3' y2='129.3'/><text class='sa-text' x='72.3' y='135.3' text-anchor='end' font-size='15'>12.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='84.8' y2='84.8'/><text class='sa-text' x='72.3' y='90.8' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='81.3' x2='847.8' y1='40.2' y2='40.2'/><text class='sa-text' x='72.3' y='46.2' text-anchor='end' font-size='15'>17.5</text><rect class='sa-frame-line' x='81.3' y='16.2' width='766.5' height='351.8'/><text class='sa-text' x='464.5' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' 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71' aria-label='SBE Improvement over Random: 6.3% Selection time per 1k features: 2.36e+04 s Datasets: 71'/><circle class='sa-hit' cx='742.3' cy='263.7' r='10.5' data-tip='LOCO Improvement over Random: 5.0% Selection time per 1k features: 6.32e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 5.0% Selection time per 1k features: 6.32e+03 s Datasets: 71'/><circle class='sa-hit' cx='116.1' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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| 36 |
RFImportance,17.9516,45.6523,71,True
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| 37 |
CART,14.3581,15.705,71,True
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MI,14.1607,51.1336,71,False
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data-tip='MI Improvement over Random: 14.2% Selection time per 1k features: 51.1 s Datasets: 71 Next to mRMR: 13.7%, 73.8 s' aria-label='MI Improvement over Random: 14.2% Selection time per 1k features: 51.1 s Datasets: 71 Next to mRMR: 13.7%, 73.8 s'/><circle class='sa-hit' cx='551.8' cy='108.0' r='10.5' data-tip='mRMR Improvement over Random: 13.7% Selection time per 1k features: 73.8 s Datasets: 71 Next to MI: 14.2%, 51.1 s' aria-label='mRMR Improvement over Random: 13.7% Selection time per 1k features: 73.8 s Datasets: 71 Next to MI: 14.2%, 51.1 s'/><circle class='sa-hit' cx='356.6' cy='108.4' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 13.7% Selection time per 1k features: 0.77 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 13.7% Selection time per 1k features: 0.77 s Datasets: 71'/><circle class='sa-hit' cx='700.4' cy='112.0' r='10.5' data-tip='ElasticNet Improvement over Random: 13.5% Selection time per 1k features: 2.38e+03 s Datasets: 71 Next to Lasso: 12.6%, 2.37e+03 s' aria-label='ElasticNet Improvement over Random: 13.5% Selection time per 1k features: 2.38e+03 s Datasets: 71 Next to Lasso: 12.6%, 2.37e+03 s'/><circle class='sa-hit' cx='800.2' cy='122.7' r='10.5' data-tip='(R)ReliefF Improvement over Random: 12.9% Selection time per 1k features: 2.44e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 12.9% Selection time per 1k features: 2.44e+04 s Datasets: 71'/><circle class='sa-hit' cx='700.3' cy='126.7' r='10.5' data-tip='Lasso Improvement over Random: 12.6% Selection time per 1k features: 2.37e+03 s Datasets: 71 Next to ElasticNet: 13.5%, 2.38e+03 s' aria-label='Lasso Improvement over Random: 12.6% Selection time per 1k features: 2.37e+03 s Datasets: 71 Next to ElasticNet: 13.5%, 2.38e+03 s'/><circle class='sa-hit' cx='481.3' cy='144.9' r='10.5' data-tip='GainRatio Improvement over Random: 11.6% Selection time per 1k features: 14.2 s Datasets: 71 Next to MarkovBlanket: 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Datasets: 71'/><circle class='sa-hit' cx='742.3' cy='263.7' r='10.5' data-tip='LOCO Improvement over Random: 5.0% Selection time per 1k features: 6.32e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 5.0% Selection time per 1k features: 6.32e+03 s Datasets: 71'/><circle class='sa-hit' cx='116.1' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,17.9516,45.6523,71,True
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CART,14.3581,15.705,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1250.0'>1250<span class='sub'>+34 / β29</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+35 / β34</span></td><td class='num' data-sort='7.6'>7.6</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+34 / β34</span></td><td class='num' data-sort='8.7'>8.7</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='7.7'>7.7</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+29 / β34</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+38 / β39</span></td><td class='num' data-sort='9.9'>9.9</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1165.0'>1165<span class='sub'>+38 / β35</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='14.4'>14.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1140.0'>1140<span class='sub'>+36 / β33</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1131.0'>1131<span class='sub'>+34 / β36</span></td><td class='num' data-sort='9.0'>9.0</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.6'>0.6</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1115.0'>1115<span class='sub'>+36 / β38</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1113.0'>1113<span class='sub'>+37 / β40</span></td><td class='num' data-sort='3.9'>3.9</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='989.9'>989.9</td><td class='num' data-sort='41.5'>41.5</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+33 / β32</span></td><td class='num' data-sort='4.4'>4.4</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='243.3'>243.3</td><td class='num' data-sort='18.7'>18.7</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+35 / β33</span></td><td class='num' data-sort='6.0'>6.0</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+30 / β33</span></td><td class='num' data-sort='3.4'>3.4</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='2953.5'>2,953.5</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+40 / β42</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='980.0'>980<span class='sub'>+46 / β56</span></td><td class='num' data-sort='-92.1'>-92.1</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1250.0,1221.0,1284.0,11.1,0.597,0.507,0.2,0.0
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2,CART,Non-search,Tree,1189.0,1155.0,1224.0,7.6,0.324,0.482,0.1,0.0
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3,ElasticNet,Non-search,Regularization,1172.0,1138.0,1206.0,8.7,0.308,0.568,7.7,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1250.0'>1250<span class='sub'>+34 / β29</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+35 / β34</span></td><td class='num' data-sort='7.6'>7.6</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+34 / β34</span></td><td class='num' data-sort='8.7'>8.7</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='7.7'>7.7</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+29 / β34</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+38 / β39</span></td><td class='num' data-sort='9.9'>9.9</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1165.0'>1165<span class='sub'>+38 / β35</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='14.4'>14.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1140.0'>1140<span class='sub'>+36 / β33</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1131.0'>1131<span class='sub'>+34 / β36</span></td><td class='num' data-sort='9.0'>9.0</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.6'>0.6</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1115.0'>1115<span class='sub'>+36 / β38</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1113.0'>1113<span class='sub'>+37 / β40</span></td><td class='num' data-sort='3.9'>3.9</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='989.9'>989.9</td><td class='num' data-sort='41.5'>41.5</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+33 / β32</span></td><td class='num' data-sort='4.4'>4.4</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='243.3'>243.3</td><td class='num' data-sort='18.7'>18.7</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+35 / β33</span></td><td class='num' data-sort='6.0'>6.0</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+30 / β33</span></td><td class='num' data-sort='3.4'>3.4</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='2953.5'>2,953.5</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+40 / β42</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='980.0'>980<span class='sub'>+46 / β56</span></td><td class='num' data-sort='-92.1'>-92.1</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1250.0,1221.0,1284.0,11.1,0.597,0.507,0.2,0.0
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| 39 |
2,CART,Non-search,Tree,1189.0,1155.0,1224.0,7.6,0.324,0.482,0.1,0.0
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| 40 |
3,ElasticNet,Non-search,Regularization,1172.0,1138.0,1206.0,8.7,0.308,0.568,7.7,0.0
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RFImportance,11.1111,45.1078,71,True
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F-Test,9.9441,0.8521,71,True
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y1='121.7' y2='121.7'/><text class='sa-text' x='57.9' y='127.7' text-anchor='end' font-size='15'>8</text><line class='sa-grid' x1='66.9' x2='847.8' y1='64.2' y2='64.2'/><text class='sa-text' x='57.9' y='70.2' text-anchor='end' font-size='15'>10</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 314.7,65.8 500.7,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='500.7' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='314.7' cy='65.8' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='549.3' cy='92.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='686.2' cy='102.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.8' cy='120.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='451.4' cy='133.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='686.6' cy='137.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='506.8' cy='138.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='463.5' cy='163.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='446.4' cy='178.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='731.9' cy='226.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='775.2' cy='240.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='253.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='500.7' y1='32.2' x2='396.8' y2='45.9' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='396.8' y='45.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='314.7' y1='65.8' x2='276.2' y2='79.5' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='276.2' y='79.5' text-anchor='middle' 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y2='161.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='741.5' y='161.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='506.8' y1='138.8' x2='538.2' y2='119.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='538.2' y='119.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='463.5' y1='163.8' x2='579.0' y2='158.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='579.0' y='158.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='446.4' y1='178.9' x2='380.9' y2='193.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='380.9' y='193.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='731.9' y1='226.8' x2='755.2' y2='212.5' stroke-width='1' 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cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='500.7' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 45.1 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 45.1 s Datasets: 71'/><circle class='sa-hit' cx='314.7' cy='65.8' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 9.9% Selection time per 1k features: 0.852 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 9.9% Selection time per 1k features: 0.852 s Datasets: 71'/><circle class='sa-hit' cx='549.3' cy='92.6' r='10.5' data-tip='mRMR Improvement over Random: 9.0% Selection time per 1k 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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1310.0'>1310<span class='sub'>+32 / β31</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+34 / β29</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+32 / β33</span></td><td class='num' data-sort='21.9'>21.9</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1248.0'>1248<span class='sub'>+28 / β24</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1229.0'>1229<span class='sub'>+28 / β29</span></td><td class='num' data-sort='22.8'>22.8</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1226.0'>1226<span class='sub'>+29 / β32</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.1'>2.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1220.0'>1220<span class='sub'>+27 / β28</span></td><td class='num' data-sort='21.2'>21.2</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1198.0'>1198<span class='sub'>+32 / β32</span></td><td class='num' data-sort='18.6'>18.6</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1193.0'>1193<span class='sub'>+27 / β28</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+28 / β26</span></td><td class='num' data-sort='19.5'>19.5</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1178.0'>1178<span class='sub'>+31 / β32</span></td><td class='num' data-sort='18.2'>18.2</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2105.8'>2,105.8</td><td class='num' data-sort='43.5'>43.5</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+38 / β39</span></td><td class='num' data-sort='11.4'>11.4</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2495.5'>2,495.5</td><td class='num' data-sort='46.5'>46.5</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1151.0'>1151<span class='sub'>+33 / β32</span></td><td class='num' data-sort='13.0'>13.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='241.5'>241.5</td><td class='num' data-sort='7.6'>7.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+32 / β34</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='965.0'>965<span class='sub'>+43 / β52</span></td><td class='num' data-sort='-18.6'>-18.6</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1310.0,1279.0,1342.0,26.2,0.643,0.669,0.2,0.0
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2,CART,Non-search,Tree,1265.0,1236.0,1299.0,23.8,0.422,0.586,0.1,0.0
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3,ElasticNet,Non-search,Regularization,1252.0,1219.0,1284.0,21.9,0.447,0.76,7.6,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1310.0'>1310<span class='sub'>+32 / β31</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+34 / β29</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+32 / β33</span></td><td class='num' data-sort='21.9'>21.9</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='7.6'>7.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1248.0'>1248<span class='sub'>+28 / β24</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1229.0'>1229<span class='sub'>+28 / β29</span></td><td class='num' data-sort='22.8'>22.8</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1226.0'>1226<span class='sub'>+29 / β32</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.1'>2.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1220.0'>1220<span class='sub'>+27 / β28</span></td><td class='num' data-sort='21.2'>21.2</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1198.0'>1198<span class='sub'>+32 / β32</span></td><td class='num' data-sort='18.6'>18.6</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='14.3'>14.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1193.0'>1193<span class='sub'>+27 / β28</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+28 / β26</span></td><td class='num' data-sort='19.5'>19.5</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1178.0'>1178<span class='sub'>+31 / β32</span></td><td class='num' data-sort='18.2'>18.2</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2105.8'>2,105.8</td><td class='num' data-sort='43.5'>43.5</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+38 / β39</span></td><td class='num' data-sort='11.4'>11.4</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2495.5'>2,495.5</td><td class='num' data-sort='46.5'>46.5</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1151.0'>1151<span class='sub'>+33 / β32</span></td><td class='num' data-sort='13.0'>13.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='241.5'>241.5</td><td class='num' data-sort='7.6'>7.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+32 / β34</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='965.0'>965<span class='sub'>+43 / β52</span></td><td class='num' data-sort='-18.6'>-18.6</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1310.0,1279.0,1342.0,26.2,0.643,0.669,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1265.0,1236.0,1299.0,23.8,0.422,0.586,0.1,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1252.0,1219.0,1284.0,21.9,0.447,0.76,7.6,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1368.0'>1368<span class='sub'>+66 / β57</span></td><td class='num' data-sort='29.5'>29.5</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1347.0'>1347<span class='sub'>+56 / β45</span></td><td class='num' data-sort='27.7'>27.7</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+55 / β50</span></td><td class='num' data-sort='25.8'>25.8</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1312.0'>1312<span class='sub'>+56 / β56</span></td><td class='num' data-sort='24.2'>24.2</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='1052.3'>1,052.3</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1304.0'>1304<span class='sub'>+46 / β46</span></td><td class='num' data-sort='25.2'>25.2</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1292.0'>1292<span class='sub'>+43 / β42</span></td><td class='num' data-sort='27.8'>27.8</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1280.0'>1280<span class='sub'>+48 / β52</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1270.0'>1270<span class='sub'>+43 / β49</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1254.0'>1254<span class='sub'>+45 / β44</span></td><td class='num' data-sort='25.6'>25.6</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1234.0'>1234<span class='sub'>+50 / β49</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1233.0'>1233<span class='sub'>+56 / β56</span></td><td class='num' data-sort='14.6'>14.6</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3579.1'>3,579.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1194.0'>1194<span class='sub'>+47 / β47</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='240.9'>240.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1191.0'>1191<span class='sub'>+44 / β43</span></td><td class='num' data-sort='19.7'>19.7</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β67</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='934.0'>934<span class='sub'>+75 / β97</span></td><td class='num' data-sort='-19.0'>-19.0</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 36 |
1,RFImportance,Non-search,Tree,1368.0,1311.0,1434.0,29.5,0.628,0.805,0.2,0.0
|
| 37 |
2,CART,Non-search,Tree,1347.0,1302.0,1403.0,27.7,0.484,0.731,0.1,0.0
|
| 38 |
3,MarkovBlanket,Search,Backward search,1325.0,1275.0,1380.0,25.8,0.418,0.465,0.1,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1368.0'>1368<span class='sub'>+66 / β57</span></td><td class='num' data-sort='29.5'>29.5</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1347.0'>1347<span class='sub'>+56 / β45</span></td><td class='num' data-sort='27.7'>27.7</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+55 / β50</span></td><td class='num' data-sort='25.8'>25.8</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1312.0'>1312<span class='sub'>+56 / β56</span></td><td class='num' data-sort='24.2'>24.2</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='1052.3'>1,052.3</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1304.0'>1304<span class='sub'>+46 / β46</span></td><td class='num' data-sort='25.2'>25.2</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1292.0'>1292<span class='sub'>+43 / β42</span></td><td class='num' data-sort='27.8'>27.8</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1280.0'>1280<span class='sub'>+48 / β52</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1270.0'>1270<span class='sub'>+43 / β49</span></td><td class='num' data-sort='23.8'>23.8</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1254.0'>1254<span class='sub'>+45 / β44</span></td><td class='num' data-sort='25.6'>25.6</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1234.0'>1234<span class='sub'>+50 / β49</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1233.0'>1233<span class='sub'>+56 / β56</span></td><td class='num' data-sort='14.6'>14.6</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3579.1'>3,579.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1194.0'>1194<span class='sub'>+47 / β47</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='240.9'>240.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1191.0'>1191<span class='sub'>+44 / β43</span></td><td class='num' data-sort='19.7'>19.7</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β67</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='934.0'>934<span class='sub'>+75 / β97</span></td><td class='num' data-sort='-19.0'>-19.0</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1368.0,1311.0,1434.0,29.5,0.628,0.805,0.2,0.0
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| 39 |
2,CART,Non-search,Tree,1347.0,1302.0,1403.0,27.7,0.484,0.731,0.1,0.0
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| 40 |
3,MarkovBlanket,Search,Backward search,1325.0,1275.0,1380.0,25.8,0.418,0.465,0.1,0.0
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time per 1k features: 14.5 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 27.7% Selection time per 1k features: 14.5 s Datasets: 71'/><circle class='sa-hit' cx='338.9' cy='71.3' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 25.9% Selection time per 1k features: 0.648 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 25.9% Selection time per 1k features: 0.648 s Datasets: 71'/><circle class='sa-hit' cx='485.4' cy='73.0' r='10.5' data-tip='MarkovBlanket Improvement over Random: 25.8% Selection time per 1k features: 19 s Datasets: 71 Next to mRMR: 25.6%, 16.3 s' aria-label='MarkovBlanket Improvement over Random: 25.8% Selection time per 1k features: 19 s Datasets: 71 Next to mRMR: 25.6%, 16.3 s'/><circle class='sa-hit' cx='478.9' cy='74.8' r='10.5' data-tip='mRMR Improvement over Random: 25.6% Selection time per 1k features: 16.3 s Datasets: 71 Next to MarkovBlanket: 25.8%, 19 s' aria-label='mRMR Improvement over Random: 25.6% Selection time per 1k features: 16.3 s Datasets: 71 Next to MarkovBlanket: 25.8%, 19 s'/><circle class='sa-hit' cx='690.7' cy='79.5' r='10.5' data-tip='ElasticNet Improvement over Random: 25.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 23.8%, 1.96e+03 s' aria-label='ElasticNet Improvement over Random: 25.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 23.8%, 1.96e+03 s'/><circle class='sa-hit' cx='783.4' cy='90.3' r='10.5' data-tip='SFS Improvement over Random: 24.2% Selection time per 1k features: 1.81e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 24.2% Selection time per 1k features: 1.81e+04 s Datasets: 71'/><circle class='sa-hit' cx='686.7' cy='93.8' r='10.5' data-tip='Lasso Improvement over Random: 23.8% Selection time per 1k features: 1.96e+03 s Datasets: 71 Next to ElasticNet: 25.2%, 2.14e+03 s' aria-label='Lasso Improvement over Random: 23.8% Selection time per 1k features: 1.96e+03 s Datasets: 71 Next to ElasticNet: 25.2%, 2.14e+03 s'/><circle class='sa-hit' cx='468.1' cy='100.2' r='10.5' data-tip='GainRatio Improvement over Random: 23.3% Selection time per 1k features: 12.7 s Datasets: 71' aria-label='GainRatio Improvement over Random: 23.3% Selection time per 1k features: 12.7 s Datasets: 71'/><circle class='sa-hit' cx='795.4' cy='138.5' r='10.5' data-tip='(R)ReliefF Improvement over Random: 19.7% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 19.7% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='737.7' cy='176.5' r='10.5' data-tip='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.32e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.32e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='193.5' r='10.5' data-tip='SBE Improvement over Random: 14.6% Selection time per 1k features: 3.53e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 14.6% Selection time per 1k features: 3.53e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,29.5432,38.7674,71,True
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MI,27.8197,45.9925,71,False
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CART,27.6757,14.4968,71,True
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x1='657.6' x2='657.6' y1='16.2' y2='368.0'/><text class='sa-text' x='657.6' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='757.6' x2='757.6' y1='16.2' y2='368.0'/><text class='sa-text' x='757.6' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='67.0' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='58.0' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='67.0' x2='847.8' y1='297.9' y2='297.9'/><text class='sa-text' x='58.0' y='303.9' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='67.0' x2='847.8' y1='243.8' y2='243.8'/><text class='sa-text' x='58.0' y='249.8' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='67.0' x2='847.8' y1='189.6' y2='189.6'/><text class='sa-text' x='58.0' y='195.6' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='67.0' x2='847.8' y1='135.5' y2='135.5'/><text class='sa-text' x='58.0' y='141.5' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='81.4' y2='81.4'/><text class='sa-text' x='58.0' y='87.4' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='27.2' y2='27.2'/><text class='sa-text' x='58.0' y='33.2' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='16.2' width='780.8' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='51.9' x2='69.0' 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fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='686.7' cy='93.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='468.1' cy='100.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.4' cy='138.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='737.7' cy='176.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='193.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.5' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='516.5' y1='32.2' x2='636.8' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='636.8' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='523.9' y1='50.9' x2='588.1' y2='59.4' 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Datasets: 71 Next to MarkovBlanket: 25.8%, 19 s' aria-label='mRMR Improvement over Random: 25.6% Selection time per 1k features: 16.3 s Datasets: 71 Next to MarkovBlanket: 25.8%, 19 s'/><circle class='sa-hit' cx='690.7' cy='79.5' r='10.5' data-tip='ElasticNet Improvement over Random: 25.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 23.8%, 1.96e+03 s' aria-label='ElasticNet Improvement over Random: 25.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 23.8%, 1.96e+03 s'/><circle class='sa-hit' cx='783.4' cy='90.3' r='10.5' data-tip='SFS Improvement over Random: 24.2% Selection time per 1k features: 1.81e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 24.2% Selection time per 1k features: 1.81e+04 s Datasets: 71'/><circle class='sa-hit' cx='686.7' cy='93.8' r='10.5' data-tip='Lasso Improvement over Random: 23.8% Selection time per 1k features: 1.96e+03 s Datasets: 71 Next to ElasticNet: 25.2%, 2.14e+03 s' aria-label='Lasso Improvement over Random: 23.8% Selection time per 1k features: 1.96e+03 s Datasets: 71 Next to ElasticNet: 25.2%, 2.14e+03 s'/><circle class='sa-hit' cx='468.1' cy='100.2' r='10.5' data-tip='GainRatio Improvement over Random: 23.3% Selection time per 1k features: 12.7 s Datasets: 71' aria-label='GainRatio Improvement over Random: 23.3% Selection time per 1k features: 12.7 s Datasets: 71'/><circle class='sa-hit' cx='795.4' cy='138.5' r='10.5' data-tip='(R)ReliefF Improvement over Random: 19.7% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 19.7% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='737.7' cy='176.5' r='10.5' data-tip='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.32e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.32e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='193.5' r='10.5' data-tip='SBE Improvement over Random: 14.6% Selection time per 1k features: 3.53e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 14.6% Selection time per 1k features: 3.53e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0028 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,29.5432,38.7674,71,True
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| 37 |
MI,27.8197,45.9925,71,False
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CART,27.6757,14.4968,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+57 / β52</span></td><td class='num' data-sort='28.1'>28.1</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+49 / β46</span></td><td class='num' data-sort='25.7'>25.7</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1355.0'>1355<span class='sub'>+49 / β48</span></td><td class='num' data-sort='26.5'>26.5</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1340.0'>1340<span class='sub'>+47 / β40</span></td><td class='num' data-sort='24.8'>24.8</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1338.0'>1338<span class='sub'>+48 / β50</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.1'>2.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+41 / β36</span></td><td class='num' data-sort='26.8'>26.8</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1311.0'>1311<span class='sub'>+50 / β48</span></td><td class='num' data-sort='25.0'>25.0</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1294.0'>1294<span class='sub'>+51 / β50</span></td><td class='num' data-sort='21.3'>21.3</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1770.9'>1,770.9</td><td class='num' data-sort='44.1'>44.1</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1291.0'>1291<span class='sub'>+47 / β44</span></td><td class='num' data-sort='24.3'>24.3</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1289.0'>1289<span class='sub'>+47 / β48</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1275.0'>1275<span class='sub'>+49 / β50</span></td><td class='num' data-sort='21.9'>21.9</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='12.8'>12.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+55 / β59</span></td><td class='num' data-sort='15.5'>15.5</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3152.6'>3,152.6</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1241.0'>1241<span class='sub'>+55 / β51</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='239.5'>239.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+44 / β53</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='995.0'>995<span class='sub'>+67 / β88</span></td><td class='num' data-sort='-29.1'>-29.1</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 36 |
1,RFImportance,Non-search,Tree,1366.0,1314.0,1423.0,28.1,0.653,0.741,0.2,0.0
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2,ElasticNet,Non-search,Regularization,1366.0,1320.0,1415.0,25.7,0.519,0.873,6.3,0.0
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3,CART,Non-search,Tree,1355.0,1307.0,1404.0,26.5,0.456,0.638,0.0,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+57 / β52</span></td><td class='num' data-sort='28.1'>28.1</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1366.0'>1366<span class='sub'>+49 / β46</span></td><td class='num' data-sort='25.7'>25.7</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1355.0'>1355<span class='sub'>+49 / β48</span></td><td class='num' data-sort='26.5'>26.5</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1340.0'>1340<span class='sub'>+47 / β40</span></td><td class='num' data-sort='24.8'>24.8</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1338.0'>1338<span class='sub'>+48 / β50</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.1'>2.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1325.0'>1325<span class='sub'>+41 / β36</span></td><td class='num' data-sort='26.8'>26.8</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1311.0'>1311<span class='sub'>+50 / β48</span></td><td class='num' data-sort='25.0'>25.0</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1294.0'>1294<span class='sub'>+51 / β50</span></td><td class='num' data-sort='21.3'>21.3</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1770.9'>1,770.9</td><td class='num' data-sort='44.1'>44.1</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1291.0'>1291<span class='sub'>+47 / β44</span></td><td class='num' data-sort='24.3'>24.3</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1289.0'>1289<span class='sub'>+47 / β48</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1275.0'>1275<span class='sub'>+49 / β50</span></td><td class='num' data-sort='21.9'>21.9</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='12.8'>12.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+55 / β59</span></td><td class='num' data-sort='15.5'>15.5</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3152.6'>3,152.6</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1241.0'>1241<span class='sub'>+55 / β51</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='239.5'>239.5</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+44 / β53</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='995.0'>995<span class='sub'>+67 / β88</span></td><td class='num' data-sort='-29.1'>-29.1</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1366.0,1314.0,1423.0,28.1,0.653,0.741,0.2,0.0
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| 39 |
2,ElasticNet,Non-search,Regularization,1366.0,1320.0,1415.0,25.7,0.519,0.873,6.3,0.0
|
| 40 |
3,CART,Non-search,Tree,1355.0,1307.0,1404.0,26.5,0.456,0.638,0.0,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1321.0'>1321<span class='sub'>+59 / β50</span></td><td class='num' data-sort='22.8'>22.8</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1283.0'>1283<span class='sub'>+48 / β47</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1282.0'>1282<span class='sub'>+49 / β50</span></td><td class='num' data-sort='19.5'>19.5</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1268.0'>1268<span class='sub'>+51 / β51</span></td><td class='num' data-sort='18.7'>18.7</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+49 / β49</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1248.0'>1248<span class='sub'>+38 / β38</span></td><td class='num' data-sort='17.8'>17.8</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+58 / β53</span></td><td class='num' data-sort='11.4'>11.4</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2887.2'>2,887.2</td><td class='num' data-sort='47.4'>47.4</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1212.0'>1212<span class='sub'>+47 / β45</span></td><td class='num' data-sort='16.6'>16.6</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1205.0'>1205<span class='sub'>+47 / β45</span></td><td class='num' data-sort='16.5'>16.5</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1199.0'>1199<span class='sub'>+44 / β47</span></td><td class='num' data-sort='16.3'>16.3</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+43 / β44</span></td><td class='num' data-sort='16.6'>16.6</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1193.0'>1193<span class='sub'>+51 / β52</span></td><td class='num' data-sort='13.1'>13.1</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2274.8'>2,274.8</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1175.0'>1175<span class='sub'>+55 / β56</span></td><td class='num' data-sort='9.1'>9.1</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='251.9'>251.9</td><td class='num' data-sort='6.6'>6.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+46 / β52</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='939.0'>939<span class='sub'>+74 / β91</span></td><td class='num' data-sort='-65.9'>-65.9</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 36 |
1,RFImportance,Non-search,Tree,1321.0,1271.0,1380.0,22.8,0.676,0.691,0.2,0.0
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2,CART,Non-search,Tree,1283.0,1236.0,1331.0,19.8,0.444,0.572,0.0,0.0
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3,MI,Non-search,Information theory,1282.0,1232.0,1331.0,19.5,0.683,0.815,0.4,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1321.0'>1321<span class='sub'>+59 / β50</span></td><td class='num' data-sort='22.8'>22.8</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1283.0'>1283<span class='sub'>+48 / β47</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1282.0'>1282<span class='sub'>+49 / β50</span></td><td class='num' data-sort='19.5'>19.5</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1268.0'>1268<span class='sub'>+51 / β51</span></td><td class='num' data-sort='18.7'>18.7</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+49 / β49</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1248.0'>1248<span class='sub'>+38 / β38</span></td><td class='num' data-sort='17.8'>17.8</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+58 / β53</span></td><td class='num' data-sort='11.4'>11.4</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2887.2'>2,887.2</td><td class='num' data-sort='47.4'>47.4</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1212.0'>1212<span class='sub'>+47 / β45</span></td><td class='num' data-sort='16.6'>16.6</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1205.0'>1205<span class='sub'>+47 / β45</span></td><td class='num' data-sort='16.5'>16.5</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1199.0'>1199<span class='sub'>+44 / β47</span></td><td class='num' data-sort='16.3'>16.3</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+43 / β44</span></td><td class='num' data-sort='16.6'>16.6</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1193.0'>1193<span class='sub'>+51 / β52</span></td><td class='num' data-sort='13.1'>13.1</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2274.8'>2,274.8</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1175.0'>1175<span class='sub'>+55 / β56</span></td><td class='num' data-sort='9.1'>9.1</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='251.9'>251.9</td><td class='num' data-sort='6.6'>6.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+46 / β52</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='939.0'>939<span class='sub'>+74 / β91</span></td><td class='num' data-sort='-65.9'>-65.9</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1321.0,1271.0,1380.0,22.8,0.676,0.691,0.2,0.0
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| 39 |
2,CART,Non-search,Tree,1283.0,1236.0,1331.0,19.8,0.444,0.572,0.0,0.0
|
| 40 |
3,MI,Non-search,Information theory,1282.0,1232.0,1331.0,19.5,0.683,0.815,0.4,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+58 / β49</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1210.0'>1210<span class='sub'>+48 / β41</span></td><td class='num' data-sort='14.3'>14.3</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1207.0'>1207<span class='sub'>+46 / β47</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1207.0'>1207<span class='sub'>+54 / β53</span></td><td class='num' data-sort='13.3'>13.3</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+48 / β49</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+44 / β48</span></td><td class='num' data-sort='14.2'>14.2</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1153.0'>1153<span class='sub'>+43 / β43</span></td><td class='num' data-sort='13.5'>13.5</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1145.0'>1145<span class='sub'>+52 / β50</span></td><td class='num' data-sort='12.8'>12.8</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='13.1'>13.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1128.0'>1128<span class='sub'>+43 / β43</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1122.0'>1122<span class='sub'>+57 / β58</span></td><td class='num' data-sort='5.8'>5.8</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1923.4'>1,923.4</td><td class='num' data-sort='44.6'>44.6</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1118.0'>1118<span class='sub'>+53 / β53</span></td><td class='num' data-sort='6.2'>6.2</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='236.6'>236.6</td><td class='num' data-sort='11.3'>11.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1115.0'>1115<span class='sub'>+46 / β44</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1098.0'>1098<span class='sub'>+50 / β48</span></td><td class='num' data-sort='7.3'>7.3</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2771.3'>2,771.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+50 / β57</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='878.0'>878<span class='sub'>+72 / β82</span></td><td class='num' data-sort='-126.6'>-126.6</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1273.0,1224.0,1331.0,17.7,0.661,0.6,0.2,0.0
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3,Lasso,Non-search,Regularization,1207.0,1160.0,1253.0,13.7,0.334,0.643,1.9,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1273.0'>1273<span class='sub'>+58 / β49</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1210.0'>1210<span class='sub'>+48 / β41</span></td><td class='num' data-sort='14.3'>14.3</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1207.0'>1207<span class='sub'>+46 / β47</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1207.0'>1207<span class='sub'>+54 / β53</span></td><td class='num' data-sort='13.3'>13.3</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+48 / β49</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+44 / β48</span></td><td class='num' data-sort='14.2'>14.2</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1153.0'>1153<span class='sub'>+43 / β43</span></td><td class='num' data-sort='13.5'>13.5</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1145.0'>1145<span class='sub'>+52 / β50</span></td><td class='num' data-sort='12.8'>12.8</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='13.1'>13.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1128.0'>1128<span class='sub'>+43 / β43</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1122.0'>1122<span class='sub'>+57 / β58</span></td><td class='num' data-sort='5.8'>5.8</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1923.4'>1,923.4</td><td class='num' data-sort='44.6'>44.6</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1118.0'>1118<span class='sub'>+53 / β53</span></td><td class='num' data-sort='6.2'>6.2</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='236.6'>236.6</td><td class='num' data-sort='11.3'>11.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1115.0'>1115<span class='sub'>+46 / β44</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1098.0'>1098<span class='sub'>+50 / β48</span></td><td class='num' data-sort='7.3'>7.3</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2771.3'>2,771.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+50 / β57</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='878.0'>878<span class='sub'>+72 / β82</span></td><td class='num' data-sort='-126.6'>-126.6</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1273.0,1224.0,1331.0,17.7,0.661,0.6,0.2,0.0
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| 39 |
2,CART,Non-search,Tree,1210.0,1169.0,1258.0,14.3,0.402,0.507,0.0,0.0
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| 40 |
3,Lasso,Non-search,Regularization,1207.0,1160.0,1253.0,13.7,0.334,0.643,1.9,0.0
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y1='171.1' y2='171.1'/><text class='sa-text' x='72.3' y='177.1' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='81.3' x2='847.8' y1='125.9' y2='125.9'/><text class='sa-text' x='72.3' y='131.9' text-anchor='end' font-size='15'>12.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='80.7' y2='80.7'/><text class='sa-text' x='72.3' y='86.7' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='81.3' x2='847.8' y1='35.4' y2='35.4'/><text class='sa-text' x='72.3' y='41.4' text-anchor='end' font-size='15'>17.5</text><rect class='sa-frame-line' x='81.3' y='16.2' width='766.5' height='351.8'/><text class='sa-text' x='464.5' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' 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font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='494.6' y1='130.1' x2='581.7' y2='174.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='581.7' y='174.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='813.0' y1='220.6' x2='828.9' y2='206.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.9' y='206.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='742.2' y1='240.7' x2='708.8' y2='255.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='708.8' y='255.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='799.0' y1='247.0' x2='825.0' y2='260.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='825.0' y='260.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='116.1' y1='352.0' x2='168.9' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='168.9' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='524.8' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 17.7% Selection time per 1k features: 38.5 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 17.7% Selection time per 1k features: 38.5 s Datasets: 71'/><circle class='sa-hit' cx='483.0' cy='93.4' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 14.3% Selection time per 1k features: 14.4 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 14.3% Selection time per 1k features: 14.4 s Datasets: 71'/><circle class='sa-hit' cx='350.8' cy='96.0' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 14.2% Selection time per 1k features: 0.645 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 14.2% Selection time per 1k features: 0.645 s Datasets: 71'/><circle class='sa-hit' cx='532.7' cy='103.7' r='10.5' data-tip='MI Improvement over Random: 13.7% Selection time per 1k features: 46.4 s Datasets: 71 Next to mRMR: 13.5%, 65.6 s' aria-label='MI Improvement over Random: 13.7% Selection time per 1k features: 46.4 s Datasets: 71 Next to mRMR: 13.5%, 65.6 s'/><circle class='sa-hit' cx='692.7' cy='104.6' r='10.5' data-tip='Lasso Improvement over Random: 13.7% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 13.3%, 2.12e+03 s' aria-label='Lasso Improvement over Random: 13.7% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 13.3%, 2.12e+03 s'/><circle class='sa-hit' cx='547.5' cy='108.5' r='10.5' data-tip='mRMR Improvement over Random: 13.5% Selection time per 1k features: 65.6 s Datasets: 71 Next to MI: 13.7%, 46.4 s' aria-label='mRMR Improvement over Random: 13.5% Selection time per 1k features: 65.6 s Datasets: 71 Next to MI: 13.7%, 46.4 s'/><circle class='sa-hit' cx='695.4' cy='111.1' r='10.5' data-tip='ElasticNet Improvement over Random: 13.3% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 13.7%, 1.99e+03 s' aria-label='ElasticNet Improvement over Random: 13.3% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 13.7%, 1.99e+03 s'/><circle class='sa-hit' cx='798.3' cy='120.0' r='10.5' data-tip='(R)ReliefF Improvement over Random: 12.8% Selection time per 1k 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id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,17.68,38.5146,71,True
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| 37 |
CART,14.296,14.4215,71,True
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F-Test,14.1513,0.6455,71,True
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RFImportance,17.68,38.5146,71,True
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-
</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+52 / β44</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1177.0'>1177<span class='sub'>+57 / β49</span></td><td class='num' data-sort='7.7'>7.7</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+49 / β49</span></td><td class='num' data-sort='6.3'>6.3</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+46 / β41</span></td><td class='num' data-sort='7.6'>7.6</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1160.0'>1160<span class='sub'>+44 / β41</span></td><td class='num' data-sort='4.6'>4.6</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1154.0'>1154<span class='sub'>+45 / β50</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1148.0'>1148<span class='sub'>+45 / β48</span></td><td class='num' data-sort='7.0'>7.0</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1125.0'>1125<span class='sub'>+45 / β48</span></td><td class='num' data-sort='8.3'>8.3</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1116.0'>1116<span class='sub'>+46 / β48</span></td><td class='num' data-sort='7.1'>7.1</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1112.0'>1112<span class='sub'>+51 / β53</span></td><td class='num' data-sort='5.3'>5.3</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1001.8'>1,001.8</td><td class='num' data-sort='40.8'>40.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+50 / β49</span></td><td class='num' data-sort='4.0'>4.0</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3227.2'>3,227.2</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+53 / β50</span></td><td class='num' data-sort='1.2'>1.2</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='249.4'>249.4</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1091.0'>1091<span class='sub'>+41 / β46</span></td><td class='num' data-sort='5.1'>5.1</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+53 / β56</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='968.0'>968<span class='sub'>+56 / β74</span></td><td class='num' data-sort='-220.2'>-220.2</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1274.0,1230.0,1326.0,11.1,0.597,0.507,0.2,0.0
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2,CART,Non-search,Tree,1177.0,1128.0,1234.0,7.7,0.324,0.482,0.1,0.0
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3,ElasticNet,Non-search,Regularization,1171.0,1122.0,1220.0,6.3,0.308,0.568,6.1,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+52 / β44</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1177.0'>1177<span class='sub'>+57 / β49</span></td><td class='num' data-sort='7.7'>7.7</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+49 / β49</span></td><td class='num' data-sort='6.3'>6.3</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+46 / β41</span></td><td class='num' data-sort='7.6'>7.6</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1160.0'>1160<span class='sub'>+44 / β41</span></td><td class='num' data-sort='4.6'>4.6</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1154.0'>1154<span class='sub'>+45 / β50</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1148.0'>1148<span class='sub'>+45 / β48</span></td><td class='num' data-sort='7.0'>7.0</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1125.0'>1125<span class='sub'>+45 / β48</span></td><td class='num' data-sort='8.3'>8.3</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1116.0'>1116<span class='sub'>+46 / β48</span></td><td class='num' data-sort='7.1'>7.1</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1112.0'>1112<span class='sub'>+51 / β53</span></td><td class='num' data-sort='5.3'>5.3</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1001.8'>1,001.8</td><td class='num' data-sort='40.8'>40.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1097.0'>1097<span class='sub'>+50 / β49</span></td><td class='num' data-sort='4.0'>4.0</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3227.2'>3,227.2</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+53 / β50</span></td><td class='num' data-sort='1.2'>1.2</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='249.4'>249.4</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1091.0'>1091<span class='sub'>+41 / β46</span></td><td class='num' data-sort='5.1'>5.1</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+53 / β56</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='968.0'>968<span class='sub'>+56 / β74</span></td><td class='num' data-sort='-220.2'>-220.2</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1274.0,1230.0,1326.0,11.1,0.597,0.507,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1177.0,1128.0,1234.0,7.7,0.324,0.482,0.1,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1171.0,1122.0,1220.0,6.3,0.308,0.568,6.1,0.0
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id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,11.0971,38.79,71,True
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font-weight='700'>optimal</text><polyline points='102.4,352.0 338.2,88.2 516.9,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='516.9' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='338.2' cy='88.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='563.3' cy='114.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.4' cy='129.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='688.9' cy='134.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='483.5' cy='146.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.1' cy='149.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='689.0' cy='169.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='776.9' cy='199.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='468.0' cy='206.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='524.8' cy='219.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='237.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='737.3' cy='318.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='516.9' y1='32.2' x2='413.0' y2='45.9' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='413.0' y='45.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='338.2' y1='88.2' x2='299.8' y2='101.9' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='299.8' y='101.9' text-anchor='middle' 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font-size='18' font-weight='400'>MarkovBlanket</text><text class='sa-dim sa-halo' x='796.9' y='135.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='689.0' y1='169.3' x2='699.8' y2='188.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='699.8' y='188.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='776.9' y1='199.6' x2='815.3' y2='196.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='815.3' y='196.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='468.0' y1='206.5' x2='451.0' y2='191.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='451.0' y='191.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='545.0' y='224.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='812.3' y1='237.0' x2='828.6' y2='250.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='250.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='737.3' y1='318.6' x2='704.6' y2='332.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='704.6' y='332.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='516.9' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 38.8 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 38.8 s Datasets: 71'/><circle class='sa-hit' cx='338.2' cy='88.2' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 9.2% Selection time per 1k features: 0.626 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 9.2% Selection time per 1k features: 0.626 s Datasets: 71'/><circle class='sa-hit' cx='563.3' cy='114.1' r='10.5' data-tip='mRMR Improvement over Random: 8.3% Selection time per 1k features: 113 s Datasets: 71' aria-label='mRMR Improvement over Random: 8.3% 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1k features: 12.5 s Datasets: 71'/><circle class='sa-hit' cx='524.8' cy='219.1' r='10.5' data-tip='MI Improvement over Random: 4.6% Selection time per 1k features: 46.5 s Datasets: 71' aria-label='MI Improvement over Random: 4.6% Selection time per 1k features: 46.5 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='237.0' r='10.5' data-tip='SFS Improvement over Random: 4.0% Selection time per 1k features: 3.56e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 4.0% Selection time per 1k features: 3.56e+04 s Datasets: 71'/><circle class='sa-hit' cx='737.3' cy='318.6' r='10.5' data-tip='LOCO Improvement over Random: 1.2% Selection time per 1k features: 6.29e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 1.2% Selection time per 1k features: 6.29e+03 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,11.0971,38.79,71,True
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| 37 |
F-Test,9.1536,0.6257,71,True
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| 38 |
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1313.0'>1313<span class='sub'>+44 / β39</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1267.0'>1267<span class='sub'>+39 / β33</span></td><td class='num' data-sort='23.5'>23.5</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+36 / β37</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1244.0'>1244<span class='sub'>+32 / β30</span></td><td class='num' data-sort='22.9'>22.9</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1244.0'>1244<span class='sub'>+36 / β36</span></td><td class='num' data-sort='21.1'>21.1</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+31 / β28</span></td><td class='num' data-sort='21.2'>21.2</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1217.0'>1217<span class='sub'>+34 / β34</span></td><td class='num' data-sort='21.5'>21.5</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+33 / β33</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+38 / β40</span></td><td class='num' data-sort='18.1'>18.1</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2166.9'>2,166.9</td><td class='num' data-sort='43.8'>43.8</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1185.0'>1185<span class='sub'>+37 / β36</span></td><td class='num' data-sort='18.5'>18.5</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='13.1'>13.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1184.0'>1184<span class='sub'>+44 / β46</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2611.6'>2,611.6</td><td class='num' data-sort='46.2'>46.2</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+32 / β33</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1158.0'>1158<span class='sub'>+41 / β40</span></td><td class='num' data-sort='13.0'>13.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='240.9'>240.9</td><td class='num' data-sort='7.2'>7.2</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+36 / β38</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='943.0'>943<span class='sub'>+54 / β65</span></td><td class='num' data-sort='-23.2'>-23.2</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1313.0,1274.0,1357.0,25.5,0.643,0.669,0.2,0.0
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2,CART,Non-search,Tree,1267.0,1234.0,1306.0,23.5,0.422,0.586,0.0,0.0
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3,ElasticNet,Non-search,Regularization,1252.0,1215.0,1288.0,21.6,0.447,0.76,6.1,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1313.0'>1313<span class='sub'>+44 / β39</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1267.0'>1267<span class='sub'>+39 / β33</span></td><td class='num' data-sort='23.5'>23.5</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+36 / β37</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1244.0'>1244<span class='sub'>+32 / β30</span></td><td class='num' data-sort='22.9'>22.9</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1244.0'>1244<span class='sub'>+36 / β36</span></td><td class='num' data-sort='21.1'>21.1</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+31 / β28</span></td><td class='num' data-sort='21.2'>21.2</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1217.0'>1217<span class='sub'>+34 / β34</span></td><td class='num' data-sort='21.5'>21.5</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+33 / β33</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+38 / β40</span></td><td class='num' data-sort='18.1'>18.1</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2166.9'>2,166.9</td><td class='num' data-sort='43.8'>43.8</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1185.0'>1185<span class='sub'>+37 / β36</span></td><td class='num' data-sort='18.5'>18.5</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='13.1'>13.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1184.0'>1184<span class='sub'>+44 / β46</span></td><td class='num' data-sort='12.3'>12.3</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2611.6'>2,611.6</td><td class='num' data-sort='46.2'>46.2</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+32 / β33</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1158.0'>1158<span class='sub'>+41 / β40</span></td><td class='num' data-sort='13.0'>13.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='240.9'>240.9</td><td class='num' data-sort='7.2'>7.2</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+36 / β38</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='943.0'>943<span class='sub'>+54 / β65</span></td><td class='num' data-sort='-23.2'>-23.2</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1313.0,1274.0,1357.0,25.5,0.643,0.669,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1267.0,1234.0,1306.0,23.5,0.422,0.586,0.0,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1252.0,1215.0,1288.0,21.6,0.447,0.76,6.1,0.0
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</style><line class='sa-grid' x1='161.4' x2='161.4' y1='16.2' y2='368.0'/><text class='sa-text' x='161.4' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='262.2' x2='262.2' y1='16.2' y2='368.0'/><text class='sa-text' x='262.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='362.9' x2='362.9' y1='16.2' y2='368.0'/><text class='sa-text' x='362.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='463.7' x2='463.7' y1='16.2' y2='368.0'/><text class='sa-text' x='463.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='564.5' x2='564.5' y1='16.2' y2='368.0'/><text class='sa-text' x='564.5' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='665.3' x2='665.3' y1='16.2' y2='368.0'/><text class='sa-text' x='665.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='766.1' x2='766.1' y1='16.2' y2='368.0'/><text class='sa-text' x='766.1' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='66.9' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='57.9' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='66.9' x2='847.8' y1='289.4' y2='289.4'/><text class='sa-text' x='57.9' y='295.4' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='66.9' x2='847.8' y1='226.8' y2='226.8'/><text class='sa-text' x='57.9' y='232.8' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='66.9' x2='847.8' y1='164.2' y2='164.2'/><text class='sa-text' x='57.9' y='170.2' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='66.9' x2='847.8' y1='101.6' y2='101.6'/><text class='sa-text' x='57.9' y='107.6' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='66.9' x2='847.8' y1='39.0' y2='39.0'/><text class='sa-text' x='57.9' y='45.0' text-anchor='end' font-size='15'>25</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 343.0,83.2 480.0,57.7 522.9,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='522.9' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='480.0' cy='57.7' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='530.8' cy='65.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='534.0' cy='81.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='698.0' cy='81.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='343.0' cy='83.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='491.2' cy='86.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='695.4' cy='88.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.2' cy='104.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='804.2' cy='120.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='125.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='745.9' cy='189.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='810.3' cy='197.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='522.9' y1='32.2' x2='647.6' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='647.6' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='480.0' y1='57.7' x2='440.9' y2='71.4' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='440.9' y='71.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><text class='sa-dim sa-halo' x='549.0' y='54.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='534.0' y1='81.0' x2='584.4' y2='91.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='584.4' y='91.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='698.0' y1='81.7' x2='793.2' y2='71.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='793.2' y='71.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='343.0' y1='83.2' x2='301.5' y2='97.4' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='301.5' y='97.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='491.2' y1='86.9' x2='575.0' y2='125.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='575.0' y='125.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='695.4' y1='88.3' x2='665.5' y2='55.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='665.5' y='55.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='474.2' y1='104.5' x2='454.7' y2='153.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='454.7' y='153.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='804.2' y1='120.6' x2='786.9' y2='105.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='786.9' y='105.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='812.3' y1='125.7' x2='828.6' y2='140.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='140.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='745.9' y1='189.2' x2='769.2' y2='174.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='769.2' y='174.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='810.3' y1='197.4' x2='827.3' y2='211.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='827.3' y='211.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='522.9' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 25.5% Selection time per 1k features: 38.6 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 25.5% Selection time per 1k features: 38.6 s Datasets: 71'/><circle class='sa-hit' cx='480.0' cy='57.7' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 23.5% Selection time per 1k features: 14.5 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 23.5% Selection time per 1k features: 14.5 s Datasets: 71'/><circle class='sa-hit' cx='530.8' cy='65.1' r='10.5' data-tip='MI Improvement over Random: 22.9% Selection time per 1k features: 46.3 s Datasets: 71 Next to mRMR: 21.7%, 49.9 s' aria-label='MI Improvement over Random: 22.9% Selection time per 1k features: 46.3 s Datasets: 71 Next to mRMR: 21.7%, 49.9 s'/><circle class='sa-hit' cx='534.0' cy='81.0' r='10.5' data-tip='mRMR Improvement over Random: 21.7% Selection time per 1k features: 49.9 s Datasets: 71 Next to MI: 22.9%, 46.3 s' aria-label='mRMR Improvement over Random: 21.7% Selection time per 1k features: 49.9 s Datasets: 71 Next to MI: 22.9%, 46.3 s'/><circle class='sa-hit' cx='698.0' cy='81.7' r='10.5' data-tip='ElasticNet Improvement over Random: 21.6% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 21.1%, 1.99e+03 s' aria-label='ElasticNet Improvement over Random: 21.6% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 21.1%, 1.99e+03 s'/><circle class='sa-hit' cx='343.0' cy='83.2' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 21.5% Selection time per 1k features: 0.635 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 21.5% Selection time per 1k features: 0.635 s Datasets: 71'/><circle class='sa-hit' cx='491.2' cy='86.9' r='10.5' data-tip='MarkovBlanket Improvement over Random: 21.2% Selection time per 1k features: 18.7 s Datasets: 71' aria-label='MarkovBlanket Improvement over Random: 21.2% Selection time per 1k features: 18.7 s Datasets: 71'/><circle class='sa-hit' cx='695.4' cy='88.3' r='10.5' data-tip='Lasso Improvement over Random: 21.1% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 21.6%, 2.11e+03 s' aria-label='Lasso Improvement over Random: 21.1% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 21.6%, 2.11e+03 s'/><circle class='sa-hit' cx='474.2' cy='104.5' r='10.5' data-tip='GainRatio Improvement over Random: 19.8% Selection time per 1k features: 12.7 s Datasets: 71' aria-label='GainRatio Improvement over Random: 19.8% Selection time per 1k features: 12.7 s Datasets: 71'/><circle class='sa-hit' cx='804.2' cy='120.6' r='10.5' data-tip='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 18.1%, 2.88e+04 s' aria-label='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 18.1%, 2.88e+04 s'/><circle class='sa-hit' cx='812.3' cy='125.7' r='10.5' data-tip='SFS Improvement over Random: 18.1% Selection time per 1k features: 2.88e+04 s Datasets: 71 Next to (R)ReliefF: 18.5%, 2.39e+04 s' aria-label='SFS Improvement over Random: 18.1% Selection time per 1k features: 2.88e+04 s Datasets: 71 Next to (R)ReliefF: 18.5%, 2.39e+04 s'/><circle class='sa-hit' cx='745.9' cy='189.2' r='10.5' data-tip='LOCO Improvement over Random: 13.0% Selection time per 1k features: 6.31e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 13.0% Selection time per 1k features: 6.31e+03 s Datasets: 71'/><circle class='sa-hit' cx='810.3' cy='197.4' r='10.5' data-tip='SBE Improvement over Random: 12.3% Selection time per 1k features: 2.75e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 12.3% Selection time per 1k features: 2.75e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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| 36 |
RFImportance,25.5467,38.6316,71,True
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| 37 |
CART,23.5071,14.4928,71,True
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MI,22.9183,46.2611,71,False
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</style><line class='sa-grid' x1='161.4' x2='161.4' y1='16.2' y2='368.0'/><text class='sa-text' x='161.4' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='262.2' x2='262.2' y1='16.2' y2='368.0'/><text class='sa-text' x='262.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='362.9' x2='362.9' y1='16.2' y2='368.0'/><text class='sa-text' x='362.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='463.7' x2='463.7' y1='16.2' y2='368.0'/><text class='sa-text' x='463.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='564.5' x2='564.5' y1='16.2' y2='368.0'/><text class='sa-text' x='564.5' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='665.3' x2='665.3' y1='16.2' y2='368.0'/><text class='sa-text' x='665.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='766.1' x2='766.1' y1='16.2' y2='368.0'/><text class='sa-text' x='766.1' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='66.9' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='57.9' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='66.9' x2='847.8' y1='289.4' y2='289.4'/><text class='sa-text' x='57.9' y='295.4' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='66.9' x2='847.8' y1='226.8' y2='226.8'/><text class='sa-text' x='57.9' y='232.8' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='66.9' x2='847.8' y1='164.2' y2='164.2'/><text class='sa-text' x='57.9' y='170.2' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='66.9' x2='847.8' y1='101.6' y2='101.6'/><text class='sa-text' x='57.9' y='107.6' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='66.9' x2='847.8' y1='39.0' y2='39.0'/><text class='sa-text' x='57.9' y='45.0' text-anchor='end' font-size='15'>25</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 343.0,83.2 480.0,57.7 522.9,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='522.9' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='480.0' cy='57.7' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='530.8' cy='65.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='534.0' cy='81.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='698.0' cy='81.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='343.0' cy='83.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='491.2' cy='86.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='695.4' cy='88.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.2' cy='104.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='804.2' cy='120.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='125.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='745.9' cy='189.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='810.3' cy='197.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='522.9' y1='32.2' x2='647.6' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='647.6' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='480.0' y1='57.7' x2='440.9' y2='71.4' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='440.9' y='71.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><text class='sa-dim sa-halo' x='549.0' y='54.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='534.0' y1='81.0' x2='586.9' y2='86.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='586.9' y='86.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='698.0' y1='81.7' x2='790.7' y2='74.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='790.7' y='74.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='343.0' y1='83.2' x2='301.5' y2='97.4' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='301.5' y='97.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='491.2' y1='86.9' x2='582.5' y2='122.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='582.5' y='122.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='695.4' y1='88.3' x2='666.8' y2='59.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='666.8' y='59.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='474.2' y1='104.5' x2='454.7' y2='153.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='454.7' y='153.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='796.9' y='105.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='812.3' y1='125.7' x2='828.6' y2='140.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='140.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='745.9' y1='189.2' x2='769.2' y2='174.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='769.2' y='174.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='810.3' y1='197.4' x2='827.3' y2='211.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='827.3' y='211.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='522.9' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 25.5% Selection time per 1k features: 38.6 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 25.5% Selection time per 1k features: 38.6 s Datasets: 71'/><circle class='sa-hit' cx='480.0' cy='57.7' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 23.5% Selection time per 1k features: 14.5 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 23.5% Selection time per 1k features: 14.5 s Datasets: 71'/><circle class='sa-hit' cx='530.8' cy='65.1' r='10.5' data-tip='MI Improvement over Random: 22.9% Selection time per 1k features: 46.3 s Datasets: 71 Next to mRMR: 21.7%, 49.9 s' aria-label='MI Improvement over Random: 22.9% Selection time per 1k features: 46.3 s Datasets: 71 Next to mRMR: 21.7%, 49.9 s'/><circle class='sa-hit' cx='534.0' cy='81.0' r='10.5' data-tip='mRMR Improvement over Random: 21.7% Selection time per 1k features: 49.9 s Datasets: 71 Next to MI: 22.9%, 46.3 s' aria-label='mRMR Improvement over Random: 21.7% Selection time per 1k features: 49.9 s Datasets: 71 Next to MI: 22.9%, 46.3 s'/><circle class='sa-hit' cx='698.0' cy='81.7' r='10.5' data-tip='ElasticNet Improvement over Random: 21.6% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 21.1%, 1.99e+03 s' aria-label='ElasticNet Improvement over Random: 21.6% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 21.1%, 1.99e+03 s'/><circle class='sa-hit' cx='343.0' cy='83.2' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 21.5% Selection time per 1k features: 0.635 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 21.5% Selection time per 1k features: 0.635 s Datasets: 71'/><circle class='sa-hit' cx='491.2' cy='86.9' r='10.5' data-tip='MarkovBlanket Improvement over Random: 21.2% Selection time per 1k features: 18.7 s Datasets: 71' aria-label='MarkovBlanket Improvement over Random: 21.2% Selection time per 1k features: 18.7 s Datasets: 71'/><circle class='sa-hit' cx='695.4' cy='88.3' r='10.5' data-tip='Lasso Improvement over Random: 21.1% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 21.6%, 2.11e+03 s' aria-label='Lasso Improvement over Random: 21.1% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 21.6%, 2.11e+03 s'/><circle class='sa-hit' cx='474.2' cy='104.5' r='10.5' data-tip='GainRatio Improvement over Random: 19.8% Selection time per 1k features: 12.7 s Datasets: 71' aria-label='GainRatio Improvement over Random: 19.8% Selection time per 1k features: 12.7 s Datasets: 71'/><circle class='sa-hit' cx='804.2' cy='120.6' r='10.5' data-tip='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 18.1%, 2.88e+04 s' aria-label='(R)ReliefF Improvement over Random: 18.5% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 18.1%, 2.88e+04 s'/><circle class='sa-hit' cx='812.3' cy='125.7' r='10.5' data-tip='SFS Improvement over Random: 18.1% Selection time per 1k features: 2.88e+04 s Datasets: 71 Next to (R)ReliefF: 18.5%, 2.39e+04 s' aria-label='SFS Improvement over Random: 18.1% Selection time per 1k features: 2.88e+04 s Datasets: 71 Next to (R)ReliefF: 18.5%, 2.39e+04 s'/><circle class='sa-hit' cx='745.9' cy='189.2' r='10.5' data-tip='LOCO Improvement over Random: 13.0% Selection time per 1k features: 6.31e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 13.0% Selection time per 1k features: 6.31e+03 s Datasets: 71'/><circle class='sa-hit' cx='810.3' cy='197.4' r='10.5' data-tip='SBE Improvement over Random: 12.3% Selection time per 1k features: 2.75e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 12.3% Selection time per 1k features: 2.75e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,25.5467,38.6316,71,True
|
| 37 |
CART,23.5071,14.4928,71,True
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| 38 |
MI,22.9183,46.2611,71,False
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data/subsets/tasks_all/models_linearmodel/budgets_0/leaderboard_table.html
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1352.0'>1352<span class='sub'>+61 / β49</span></td><td class='num' data-sort='28.3'>28.3</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1350.0'>1350<span class='sub'>+48 / β44</span></td><td class='num' data-sort='28.8'>28.8</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1344.0'>1344<span class='sub'>+62 / β56</span></td><td class='num' data-sort='27.0'>27.0</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1327.0'>1327<span class='sub'>+54 / β48</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.0'>6.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1324.0'>1324<span class='sub'>+44 / β43</span></td><td class='num' data-sort='28.0'>28.0</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1323.0'>1323<span class='sub'>+44 / β41</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1301.0'>1301<span class='sub'>+45 / β48</span></td><td class='num' data-sort='26.3'>26.3</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1295.0'>1295<span class='sub'>+51 / β52</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='970.7'>970.7</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1291.0'>1291<span class='sub'>+49 / β47</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+44 / β41</span></td><td class='num' data-sort='22.5'>22.5</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1226.0'>1226<span class='sub'>+56 / β57</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='13.7'>13.7</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+45 / β45</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='245.6'>245.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+51 / β57</span></td><td class='num' data-sort='8.8'>8.8</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3600.1'>3,600.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β62</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='973.0'>973<span class='sub'>+68 / β83</span></td><td class='num' data-sort='-12.4'>-12.4</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1352.0,1303.0,1413.0,28.3,0.628,0.805,0.2,0.0
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| 37 |
2,F-Test,Non-search,Correlation,1350.0,1306.0,1398.0,28.8,0.725,0.952,0.0,0.0
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| 38 |
3,CART,Non-search,Tree,1344.0,1288.0,1406.0,27.0,0.484,0.731,0.0,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1352.0'>1352<span class='sub'>+61 / β49</span></td><td class='num' data-sort='28.3'>28.3</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1350.0'>1350<span class='sub'>+48 / β44</span></td><td class='num' data-sort='28.8'>28.8</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1344.0'>1344<span class='sub'>+62 / β56</span></td><td class='num' data-sort='27.0'>27.0</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1327.0'>1327<span class='sub'>+54 / β48</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.0'>6.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1324.0'>1324<span class='sub'>+44 / β43</span></td><td class='num' data-sort='28.0'>28.0</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1323.0'>1323<span class='sub'>+44 / β41</span></td><td class='num' data-sort='25.4'>25.4</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1301.0'>1301<span class='sub'>+45 / β48</span></td><td class='num' data-sort='26.3'>26.3</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1295.0'>1295<span class='sub'>+51 / β52</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='970.7'>970.7</td><td class='num' data-sort='29.1'>29.1</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1291.0'>1291<span class='sub'>+49 / β47</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+44 / β41</span></td><td class='num' data-sort='22.5'>22.5</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1226.0'>1226<span class='sub'>+56 / β57</span></td><td class='num' data-sort='18.0'>18.0</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='13.7'>13.7</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1197.0'>1197<span class='sub'>+45 / β45</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='245.6'>245.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+51 / β57</span></td><td class='num' data-sort='8.8'>8.8</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3600.1'>3,600.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β62</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='973.0'>973<span class='sub'>+68 / β83</span></td><td class='num' data-sort='-12.4'>-12.4</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1352.0,1303.0,1413.0,28.3,0.628,0.805,0.2,0.0
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2,F-Test,Non-search,Correlation,1350.0,1306.0,1398.0,28.8,0.725,0.952,0.0,0.0
|
| 40 |
3,CART,Non-search,Tree,1344.0,1288.0,1406.0,27.0,0.484,0.731,0.0,0.0
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y2='29.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='422.5' y='29.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>RFImportance</text><line class='sa-ink' x1='526.6' y1='44.3' x2='425.9' y2='29.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='425.9' y='29.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='476.4' y1='55.5' x2='422.2' y2='62.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='422.2' y='62.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='481.0' y1='62.6' x2='402.2' y2='90.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='402.2' y='90.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='691.8' y1='64.5' x2='738.4' y2='49.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='738.4' y='49.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='487.9' y1='72.6' x2='579.8' y2='94.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='579.8' y='94.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='688.2' y1='82.6' x2='747.1' y2='113.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='747.1' y='113.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='782.3' y1='96.1' x2='814.1' y2='81.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='814.1' y='81.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='471.1' y1='104.4' x2='530.9' y2='129.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='530.9' 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class='sa-hit' cx='526.6' cy='44.3' r='10.5' data-tip='MI Improvement over Random: 28.0% Selection time per 1k features: 46.6 s Datasets: 71 Next to RFImportance: 28.3%, 38.3 s' aria-label='MI Improvement over Random: 28.0% Selection time per 1k features: 46.6 s Datasets: 71 Next to RFImportance: 28.3%, 38.3 s'/><circle class='sa-hit' cx='476.4' cy='55.5' r='10.5' data-tip='CART Improvement over Random: 27.0% Selection time per 1k features: 14.5 s Datasets: 71 Next to mRMR: 26.3%, 16.2 s Next to MarkovBlanket: 25.4%, 19 s' aria-label='CART Improvement over Random: 27.0% Selection time per 1k features: 14.5 s Datasets: 71 Next to mRMR: 26.3%, 16.2 s Next to MarkovBlanket: 25.4%, 19 s'/><circle class='sa-hit' cx='481.0' cy='62.6' r='10.5' data-tip='mRMR Improvement over Random: 26.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to CART: 27.0%, 14.5 s Next to MarkovBlanket: 25.4%, 19 s' aria-label='mRMR Improvement over Random: 26.3% Selection time per 1k features: 16.2 s 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data-tip='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.29e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.29e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='255.6' r='10.5' data-tip='SBE Improvement over Random: 8.8% Selection time per 1k features: 3.5e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 8.8% Selection time per 1k features: 3.5e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.2' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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F-Test,28.7686,0.6293,71,True
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RFImportance,28.295,38.3008,71,False
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MI,27.9958,46.5786,71,False
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</style><line class='sa-grid' x1='162.3' x2='162.3' y1='20.0' y2='368.0'/><text class='sa-text' x='162.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='261.6' x2='261.6' y1='20.0' y2='368.0'/><text class='sa-text' x='261.6' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='360.9' x2='360.9' y1='20.0' y2='368.0'/><text class='sa-text' x='360.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='460.3' x2='460.3' y1='20.0' y2='368.0'/><text class='sa-text' x='460.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='559.6' x2='559.6' y1='20.0' y2='368.0'/><text class='sa-text' x='559.6' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='658.9' x2='658.9' y1='20.0' y2='368.0'/><text class='sa-text' x='658.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='758.3' x2='758.3' y1='20.0' y2='368.0'/><text class='sa-text' x='758.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='67.0' x2='847.8' y1='352.2' y2='352.2'/><text class='sa-text' x='58.0' y='358.2' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='67.0' x2='847.8' y1='297.2' y2='297.2'/><text class='sa-text' x='58.0' y='303.2' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='67.0' x2='847.8' y1='242.2' y2='242.2'/><text class='sa-text' x='58.0' y='248.2' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='67.0' x2='847.8' y1='187.2' y2='187.2'/><text class='sa-text' x='58.0' y='193.2' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='67.0' x2='847.8' y1='132.2' y2='132.2'/><text class='sa-text' x='58.0' y='138.2' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='77.2' y2='77.2'/><text class='sa-text' x='58.0' y='83.2' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='22.2' y2='22.2'/><text class='sa-text' x='58.0' y='28.2' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='20.0' width='780.8' height='348.1'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 194.0) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='55.3' x2='69.0' y2='22.0' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.6' y='79.3' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.5,352.2 341.0,35.8' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='341.0' cy='35.8' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='518.2' cy='41.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='526.6' cy='44.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='476.4' cy='55.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='481.0' cy='62.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='691.8' cy='64.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='487.9' cy='72.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='688.2' cy='82.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='782.3' cy='96.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='471.1' cy='104.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.8' cy='154.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='738.2' cy='184.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='255.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.5' cy='352.2' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='341.0' y1='35.8' x2='261.0' y2='31.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='261.0' y='31.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='518.2' y1='41.0' x2='422.5' 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class='sa-dim sa-halo' x='738.4' y='49.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='487.9' y1='72.6' x2='579.2' y2='94.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='579.2' y='94.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='688.2' y1='82.6' x2='740.1' y2='111.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='740.1' y='111.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='782.3' y1='96.1' x2='817.2' y2='79.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='817.2' y='79.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='471.1' y1='104.4' x2='526.5' y2='124.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='526.5' y='124.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='797.0' y='143.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='738.2' y1='184.3' x2='705.5' y2='197.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='705.5' y='197.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='812.3' y1='255.6' x2='787.1' y2='269.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='787.1' y='269.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.5' y1='352.2' x2='156.2' y2='338.1' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='338.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' 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class='sa-hit' cx='526.6' cy='44.3' r='10.5' data-tip='MI Improvement over Random: 28.0% Selection time per 1k features: 46.6 s Datasets: 71 Next to RFImportance: 28.3%, 38.3 s' aria-label='MI Improvement over Random: 28.0% Selection time per 1k features: 46.6 s Datasets: 71 Next to RFImportance: 28.3%, 38.3 s'/><circle class='sa-hit' cx='476.4' cy='55.5' r='10.5' data-tip='CART Improvement over Random: 27.0% Selection time per 1k features: 14.5 s Datasets: 71 Next to mRMR: 26.3%, 16.2 s Next to MarkovBlanket: 25.4%, 19 s' aria-label='CART Improvement over Random: 27.0% Selection time per 1k features: 14.5 s Datasets: 71 Next to mRMR: 26.3%, 16.2 s Next to MarkovBlanket: 25.4%, 19 s'/><circle class='sa-hit' cx='481.0' cy='62.6' r='10.5' data-tip='mRMR Improvement over Random: 26.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to CART: 27.0%, 14.5 s Next to MarkovBlanket: 25.4%, 19 s' aria-label='mRMR Improvement over Random: 26.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to CART: 27.0%, 14.5 s Next to MarkovBlanket: 25.4%, 19 s'/><circle class='sa-hit' cx='691.8' cy='64.5' r='10.5' data-tip='ElasticNet Improvement over Random: 26.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 24.5%, 1.97e+03 s' aria-label='ElasticNet Improvement over Random: 26.2% Selection time per 1k features: 2.14e+03 s Datasets: 71 Next to Lasso: 24.5%, 1.97e+03 s'/><circle class='sa-hit' cx='487.9' cy='72.6' r='10.5' data-tip='MarkovBlanket Improvement over Random: 25.4% Selection time per 1k features: 19 s Datasets: 71 Next to CART: 27.0%, 14.5 s Next to mRMR: 26.3%, 16.2 s' aria-label='MarkovBlanket Improvement over Random: 25.4% Selection time per 1k features: 19 s Datasets: 71 Next to CART: 27.0%, 14.5 s Next to mRMR: 26.3%, 16.2 s'/><circle class='sa-hit' cx='688.2' cy='82.6' r='10.5' data-tip='Lasso Improvement over Random: 24.5% Selection time per 1k features: 1.97e+03 s Datasets: 71 Next to ElasticNet: 26.2%, 2.14e+03 s' aria-label='Lasso Improvement over Random: 24.5% Selection time per 1k features: 1.97e+03 s Datasets: 71 Next to ElasticNet: 26.2%, 2.14e+03 s'/><circle class='sa-hit' cx='782.3' cy='96.1' r='10.5' data-tip='SFS Improvement over Random: 23.3% Selection time per 1k features: 1.75e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 23.3% Selection time per 1k features: 1.75e+04 s Datasets: 71'/><circle class='sa-hit' cx='471.1' cy='104.4' r='10.5' data-tip='GainRatio Improvement over Random: 22.5% Selection time per 1k features: 12.8 s Datasets: 71' aria-label='GainRatio Improvement over Random: 22.5% Selection time per 1k features: 12.8 s Datasets: 71'/><circle class='sa-hit' cx='795.8' cy='154.0' r='10.5' data-tip='(R)ReliefF Improvement over Random: 18.0% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 18.0% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='738.2' cy='184.3' r='10.5' data-tip='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.29e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 15.3% Selection time per 1k features: 6.29e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='255.6' r='10.5' data-tip='SBE Improvement over Random: 8.8% Selection time per 1k features: 3.5e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 8.8% Selection time per 1k features: 3.5e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.2' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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F-Test,28.7686,0.6293,71,True
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RFImportance,28.295,38.3008,71,False
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MI,27.9958,46.5786,71,False
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1405.0'>1405<span class='sub'>+59 / β56</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1377.0'>1377<span class='sub'>+57 / β56</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1365.0'>1365<span class='sub'>+61 / β51</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1342.0'>1342<span class='sub'>+52 / β45</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1326.0'>1326<span class='sub'>+43 / β46</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1318.0'>1318<span class='sub'>+53 / β49</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1301.0'>1301<span class='sub'>+46 / β39</span></td><td class='num' data-sort='21.4'>21.4</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1296.0'>1296<span class='sub'>+45 / β44</span></td><td class='num' data-sort='24.4'>24.4</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1280.0'>1280<span class='sub'>+45 / β42</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1267.0'>1267<span class='sub'>+51 / β49</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1791.6'>1,791.6</td><td class='num' data-sort='43.7'>43.7</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1216.0'>1216<span class='sub'>+48 / β46</span></td><td class='num' data-sort='16.8'>16.8</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1199.0'>1199<span class='sub'>+46 / β46</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='235.0'>235.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1184.0'>1184<span class='sub'>+50 / β53</span></td><td class='num' data-sort='10.8'>10.8</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3391.5'>3,391.5</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1026.0'>1026<span class='sub'>+56 / β73</span></td><td class='num' data-sort='-22.4'>-22.4</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+53 / β60</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,ElasticNet,Non-search,Regularization,1405.0,1349.0,1464.0,25.9,0.519,0.873,6.3,0.0
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2,Lasso,Non-search,Regularization,1377.0,1321.0,1434.0,25.5,0.422,0.825,2.0,0.0
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3,RFImportance,Non-search,Tree,1365.0,1314.0,1426.0,27.1,0.653,0.741,0.2,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1405.0'>1405<span class='sub'>+59 / β56</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1377.0'>1377<span class='sub'>+57 / β56</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1365.0'>1365<span class='sub'>+61 / β51</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1342.0'>1342<span class='sub'>+52 / β45</span></td><td class='num' data-sort='26.2'>26.2</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1326.0'>1326<span class='sub'>+43 / β46</span></td><td class='num' data-sort='25.5'>25.5</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1318.0'>1318<span class='sub'>+53 / β49</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1301.0'>1301<span class='sub'>+46 / β39</span></td><td class='num' data-sort='21.4'>21.4</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1296.0'>1296<span class='sub'>+45 / β44</span></td><td class='num' data-sort='24.4'>24.4</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1280.0'>1280<span class='sub'>+45 / β42</span></td><td class='num' data-sort='21.6'>21.6</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1267.0'>1267<span class='sub'>+51 / β49</span></td><td class='num' data-sort='19.8'>19.8</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1791.6'>1,791.6</td><td class='num' data-sort='43.7'>43.7</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1216.0'>1216<span class='sub'>+48 / β46</span></td><td class='num' data-sort='16.8'>16.8</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1199.0'>1199<span class='sub'>+46 / β46</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='235.0'>235.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1184.0'>1184<span class='sub'>+50 / β53</span></td><td class='num' data-sort='10.8'>10.8</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3391.5'>3,391.5</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1026.0'>1026<span class='sub'>+56 / β73</span></td><td class='num' data-sort='-22.4'>-22.4</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+53 / β60</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,ElasticNet,Non-search,Regularization,1405.0,1349.0,1464.0,25.9,0.519,0.873,6.3,0.0
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2,Lasso,Non-search,Regularization,1377.0,1321.0,1434.0,25.5,0.422,0.825,2.0,0.0
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| 40 |
3,RFImportance,Non-search,Tree,1365.0,1314.0,1426.0,27.1,0.653,0.741,0.2,0.0
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Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='518.4' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 27.1% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 26.2%, 46.1 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 27.1% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 26.2%, 46.1 s'/><circle class='sa-hit' cx='526.0' cy='42.3' r='10.5' data-tip='MI Improvement over Random: 26.2% Selection time per 1k features: 46.1 s Datasets: 71 Next to RFImportance: 27.1%, 38.7 s' aria-label='MI Improvement over Random: 26.2% Selection time per 1k features: 46.1 s Datasets: 71 Next to RFImportance: 27.1%, 38.7 s'/><circle class='sa-hit' cx='691.4' cy='46.4' r='10.5' data-tip='ElasticNet Improvement over Random: 25.9% Selection time per 1k features: 2.07e+03 s 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24.1%, 14.6 s' aria-label='mRMR Improvement over Random: 24.4% Selection time per 1k features: 21.2 s Datasets: 71 Next to CART: 24.1%, 14.6 s'/><circle class='sa-hit' cx='475.9' cy='66.6' r='10.5' data-tip='CART Improvement over Random: 24.1% Selection time per 1k features: 14.6 s Datasets: 71 Next to mRMR: 24.4%, 21.2 s' aria-label='CART Improvement over Random: 24.1% Selection time per 1k features: 14.6 s Datasets: 71 Next to mRMR: 24.4%, 21.2 s'/><circle class='sa-hit' cx='469.8' cy='97.3' r='10.5' data-tip='GainRatio Improvement over Random: 21.6% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 21.4%, 19.5 s' aria-label='GainRatio Improvement over Random: 21.6% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 21.4%, 19.5 s'/><circle class='sa-hit' cx='488.6' cy='99.6' r='10.5' data-tip='MarkovBlanket Improvement over Random: 21.4% Selection time per 1k features: 19.5 s Datasets: 71 Next to GainRatio: 21.6%, 12.7 s' aria-label='MarkovBlanket Improvement over Random: 21.4% Selection time per 1k features: 19.5 s Datasets: 71 Next to GainRatio: 21.6%, 12.7 s'/><circle class='sa-hit' cx='799.7' cy='117.6' r='10.5' data-tip='SFS Improvement over Random: 19.8% Selection time per 1k features: 2.5e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 19.8% Selection time per 1k features: 2.5e+04 s Datasets: 71'/><circle class='sa-hit' cx='797.5' cy='154.0' r='10.5' data-tip='(R)ReliefF Improvement over Random: 16.8% Selection time per 1k features: 2.38e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 16.8% Selection time per 1k features: 2.38e+04 s Datasets: 71'/><circle class='sa-hit' cx='740.2' cy='204.1' r='10.5' data-tip='LOCO Improvement over Random: 12.5% Selection time per 1k features: 6.37e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 12.5% Selection time per 1k features: 6.37e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='223.9' r='10.5' data-tip='SBE Improvement over Random: 10.8% Selection time per 1k features: 3.35e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 10.8% Selection time per 1k features: 3.35e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,27.0594,38.7475,71,True
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MI,26.2027,46.0868,71,False
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ElasticNet,25.8586,2071.727,71,False
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y1='115.6' y2='115.6'/><text class='sa-text' x='57.9' y='121.6' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='66.9' x2='847.8' y1='56.5' y2='56.5'/><text class='sa-text' x='57.9' y='62.5' text-anchor='end' font-size='15'>25</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 340.6,50.3 518.4,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='518.4' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='526.0' cy='42.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='691.4' cy='46.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='340.6' cy='50.3' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='690.3' cy='50.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='492.1' cy='63.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='475.9' cy='66.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='469.8' cy='97.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='488.6' cy='99.6' r='5.8' fill='#d3d3d3' 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Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='518.4' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 27.1% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 26.2%, 46.1 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 27.1% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 26.2%, 46.1 s'/><circle class='sa-hit' cx='526.0' cy='42.3' r='10.5' data-tip='MI Improvement over Random: 26.2% Selection time per 1k features: 46.1 s Datasets: 71 Next to RFImportance: 27.1%, 38.7 s' aria-label='MI Improvement over Random: 26.2% Selection time per 1k features: 46.1 s Datasets: 71 Next to RFImportance: 27.1%, 38.7 s'/><circle class='sa-hit' cx='691.4' cy='46.4' r='10.5' data-tip='ElasticNet Improvement over Random: 25.9% Selection time per 1k features: 2.07e+03 s 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24.1%, 14.6 s' aria-label='mRMR Improvement over Random: 24.4% Selection time per 1k features: 21.2 s Datasets: 71 Next to CART: 24.1%, 14.6 s'/><circle class='sa-hit' cx='475.9' cy='66.6' r='10.5' data-tip='CART Improvement over Random: 24.1% Selection time per 1k features: 14.6 s Datasets: 71 Next to mRMR: 24.4%, 21.2 s' aria-label='CART Improvement over Random: 24.1% Selection time per 1k features: 14.6 s Datasets: 71 Next to mRMR: 24.4%, 21.2 s'/><circle class='sa-hit' cx='469.8' cy='97.3' r='10.5' data-tip='GainRatio Improvement over Random: 21.6% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 21.4%, 19.5 s' aria-label='GainRatio Improvement over Random: 21.6% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 21.4%, 19.5 s'/><circle class='sa-hit' cx='488.6' cy='99.6' r='10.5' data-tip='MarkovBlanket Improvement over Random: 21.4% Selection time per 1k features: 19.5 s Datasets: 71 Next to GainRatio: 21.6%, 12.7 s' aria-label='MarkovBlanket Improvement over Random: 21.4% Selection time per 1k features: 19.5 s Datasets: 71 Next to GainRatio: 21.6%, 12.7 s'/><circle class='sa-hit' cx='799.7' cy='117.6' r='10.5' data-tip='SFS Improvement over Random: 19.8% Selection time per 1k features: 2.5e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 19.8% Selection time per 1k features: 2.5e+04 s Datasets: 71'/><circle class='sa-hit' cx='797.5' cy='154.0' r='10.5' data-tip='(R)ReliefF Improvement over Random: 16.8% Selection time per 1k features: 2.38e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 16.8% Selection time per 1k features: 2.38e+04 s Datasets: 71'/><circle class='sa-hit' cx='740.2' cy='204.1' r='10.5' data-tip='LOCO Improvement over Random: 12.5% Selection time per 1k features: 6.37e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 12.5% Selection time per 1k features: 6.37e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='223.9' r='10.5' data-tip='SBE Improvement over Random: 10.8% Selection time per 1k features: 3.35e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 10.8% Selection time per 1k features: 3.35e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,27.0594,38.7475,71,True
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| 37 |
MI,26.2027,46.0868,71,False
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ElasticNet,25.8586,2071.727,71,False
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1313.0'>1313<span class='sub'>+63 / β56</span></td><td class='num' data-sort='20.6'>20.6</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+57 / β55</span></td><td class='num' data-sort='19.4'>19.4</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1263.0'>1263<span class='sub'>+58 / β50</span></td><td class='num' data-sort='22.2'>22.2</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1258.0'>1258<span class='sub'>+45 / β45</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1216.0'>1216<span class='sub'>+46 / β45</span></td><td class='num' data-sort='18.6'>18.6</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1203.0'>1203<span class='sub'>+55 / β49</span></td><td class='num' data-sort='17.5'>17.5</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1185.0'>1185<span class='sub'>+45 / β46</span></td><td class='num' data-sort='15.0'>15.0</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1173.0'>1173<span class='sub'>+48 / β50</span></td><td class='num' data-sort='17.9'>17.9</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+42 / β43</span></td><td class='num' data-sort='14.8'>14.8</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+43 / β46</span></td><td class='num' data-sort='13.8'>13.8</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2264.7'>2,264.7</td><td class='num' data-sort='47.9'>47.9</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+44 / β45</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='12.8'>12.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1109.0'>1109<span class='sub'>+41 / β48</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='6.1'>6.1</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1088.0'>1088<span class='sub'>+47 / β49</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2787.0'>2,787.0</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+56 / β65</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='942.0'>942<span class='sub'>+55 / β74</span></td><td class='num' data-sort='-52.8'>-52.8</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 36 |
1,ElasticNet,Non-search,Regularization,1313.0,1257.0,1376.0,20.6,0.481,0.777,6.3,0.0
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2,Lasso,Non-search,Regularization,1274.0,1219.0,1331.0,19.4,0.389,0.73,1.8,0.0
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| 38 |
3,RFImportance,Non-search,Tree,1263.0,1213.0,1321.0,22.2,0.676,0.691,0.2,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1313.0'>1313<span class='sub'>+63 / β56</span></td><td class='num' data-sort='20.6'>20.6</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1274.0'>1274<span class='sub'>+57 / β55</span></td><td class='num' data-sort='19.4'>19.4</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1263.0'>1263<span class='sub'>+58 / β50</span></td><td class='num' data-sort='22.2'>22.2</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1258.0'>1258<span class='sub'>+45 / β45</span></td><td class='num' data-sort='20.9'>20.9</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1216.0'>1216<span class='sub'>+46 / β45</span></td><td class='num' data-sort='18.6'>18.6</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1203.0'>1203<span class='sub'>+55 / β49</span></td><td class='num' data-sort='17.5'>17.5</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1185.0'>1185<span class='sub'>+45 / β46</span></td><td class='num' data-sort='15.0'>15.0</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1173.0'>1173<span class='sub'>+48 / β50</span></td><td class='num' data-sort='17.9'>17.9</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+42 / β43</span></td><td class='num' data-sort='14.8'>14.8</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1172.0'>1172<span class='sub'>+43 / β46</span></td><td class='num' data-sort='13.8'>13.8</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2264.7'>2,264.7</td><td class='num' data-sort='47.9'>47.9</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1168.0'>1168<span class='sub'>+44 / β45</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='12.8'>12.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1109.0'>1109<span class='sub'>+41 / β48</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='6.1'>6.1</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1088.0'>1088<span class='sub'>+47 / β49</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2787.0'>2,787.0</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+56 / β65</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='942.0'>942<span class='sub'>+55 / β74</span></td><td class='num' data-sort='-52.8'>-52.8</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,ElasticNet,Non-search,Regularization,1313.0,1257.0,1376.0,20.6,0.481,0.777,6.3,0.0
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| 39 |
2,Lasso,Non-search,Regularization,1274.0,1219.0,1331.0,19.4,0.389,0.73,1.8,0.0
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| 40 |
3,RFImportance,Non-search,Tree,1263.0,1213.0,1321.0,22.2,0.676,0.691,0.2,0.0
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dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='744.6' y1='235.7' x2='767.9' y2='221.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='767.9' y='221.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><text class='sa-dim sa-halo' x='827.3' y='257.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='521.5' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 22.2% Selection time per 1k features: 38.5 s Datasets: 71 Next to MI: 20.9%, 45.9 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 22.2% Selection time per 1k features: 38.5 s Datasets: 71 Next to MI: 20.9%, 45.9 s'/><circle class='sa-hit' cx='529.2' cy='51.4' r='10.5' data-tip='MI Improvement over Random: 20.9% Selection time per 1k features: 45.9 s Datasets: 71 Next to RFImportance: 22.2%, 38.5 s' aria-label='MI Improvement over Random: 20.9% Selection time per 1k features: 45.9 s Datasets: 71 Next to RFImportance: 22.2%, 38.5 s'/><circle class='sa-hit' cx='697.9' cy='55.2' r='10.5' data-tip='ElasticNet Improvement over Random: 20.6% Selection time per 1k features: 2.19e+03 s Datasets: 71 Next to Lasso: 19.4%, 2.07e+03 s' aria-label='ElasticNet Improvement over Random: 20.6% Selection time per 1k features: 2.19e+03 s Datasets: 71 Next to Lasso: 19.4%, 2.07e+03 s'/><circle class='sa-hit' cx='695.4' cy='73.4' r='10.5' data-tip='Lasso Improvement over Random: 19.4% Selection time per 1k features: 2.07e+03 s Datasets: 71 Next to ElasticNet: 20.6%, 2.19e+03 s' aria-label='Lasso Improvement over Random: 19.4% Selection time per 1k features: 2.07e+03 s Datasets: 71 Next to ElasticNet: 20.6%, 2.19e+03 s'/><circle class='sa-hit' cx='342.7' cy='84.9' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 18.6% Selection time per 1k features: 0.639 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 18.6% Selection time per 1k features: 0.639 s Datasets: 71'/><circle class='sa-hit' cx='514.8' cy='93.9' r='10.5' data-tip='mRMR Improvement over Random: 17.9% Selection time per 1k features: 33 s Datasets: 71' aria-label='mRMR Improvement over Random: 17.9% Selection time per 1k features: 33 s Datasets: 71'/><circle class='sa-hit' cx='802.2' cy='97.1' r='10.5' data-tip='(R)ReliefF Improvement over Random: 17.7% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 17.7% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='478.7' cy='99.5' r='10.5' data-tip='CART Improvement over Random: 17.5% Selection time per 1k features: 14.4 s Datasets: 71' aria-label='CART Improvement over Random: 17.5% Selection time per 1k features: 14.4 s Datasets: 71'/><circle class='sa-hit' cx='473.1' cy='136.8' r='10.5' data-tip='GainRatio Improvement over Random: 15.0% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 14.8%, 18.9 s' aria-label='GainRatio Improvement over Random: 15.0% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 14.8%, 18.9 s'/><circle class='sa-hit' cx='490.5' cy='139.5' r='10.5' data-tip='MarkovBlanket Improvement over Random: 14.8% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 15.0%, 12.7 s' aria-label='MarkovBlanket Improvement over Random: 14.8% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 15.0%, 12.7 s'/><circle class='sa-hit' cx='812.3' cy='154.2' r='10.5' data-tip='SFS Improvement over Random: 13.8% Selection time per 1k features: 3.01e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 13.8% Selection time per 1k features: 3.01e+04 s Datasets: 71'/><circle class='sa-hit' cx='744.6' cy='235.7' r='10.5' data-tip='LOCO Improvement over Random: 8.1% Selection time per 1k features: 6.39e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 8.1% Selection time per 1k features: 6.39e+03 s Datasets: 71'/><circle class='sa-hit' cx='811.9' cy='243.9' r='10.5' data-tip='SBE Improvement over Random: 7.5% Selection time per 1k features: 2.99e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 7.5% Selection time per 1k features: 2.99e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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| 36 |
RFImportance,22.2269,38.5063,71,True
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| 37 |
MI,20.8936,45.8704,71,False
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| 38 |
ElasticNet,20.6265,2189.5545,71,False
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</style><line class='sa-grid' x1='161.2' x2='161.2' y1='16.2' y2='368.0'/><text class='sa-text' x='161.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='261.7' x2='261.7' y1='16.2' y2='368.0'/><text class='sa-text' x='261.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='362.2' x2='362.2' y1='16.2' y2='368.0'/><text class='sa-text' x='362.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='462.7' x2='462.7' y1='16.2' y2='368.0'/><text class='sa-text' x='462.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='563.2' x2='563.2' y1='16.2' y2='368.0'/><text class='sa-text' x='563.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='663.7' x2='663.7' y1='16.2' y2='368.0'/><text class='sa-text' x='663.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='764.2' x2='764.2' y1='16.2' y2='368.0'/><text class='sa-text' x='764.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='66.9' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='57.9' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='66.9' x2='847.8' y1='280.1' y2='280.1'/><text class='sa-text' x='57.9' y='286.1' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='66.9' x2='847.8' y1='208.1' y2='208.1'/><text class='sa-text' x='57.9' y='214.1' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='66.9' x2='847.8' y1='136.2' y2='136.2'/><text class='sa-text' x='57.9' y='142.2' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='66.9' x2='847.8' y1='64.2' y2='64.2'/><text class='sa-text' x='57.9' y='70.2' text-anchor='end' font-size='15'>20</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 342.7,84.9 521.5,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='521.5' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='529.2' cy='51.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='697.9' cy='55.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='695.4' cy='73.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='342.7' cy='84.9' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='514.8' cy='93.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='802.2' cy='97.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='478.7' cy='99.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='473.1' cy='136.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='490.5' cy='139.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='154.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='744.6' cy='235.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='811.9' cy='243.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='521.5' y1='32.2' x2='398.5' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='398.5' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='529.2' y1='51.4' x2='484.5' y2='53.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='484.5' y='53.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='697.9' y1='55.2' x2='755.7' y2='40.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='755.7' y='40.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='695.4' y1='73.4' x2='652.3' y2='82.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='652.3' y='82.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='342.7' y1='84.9' x2='303.0' y2='99.1' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='303.0' y='99.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='514.8' y1='93.9' x2='554.5' y2='79.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='554.5' y='79.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='802.2' y1='97.1' x2='785.0' y2='116.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='785.0' y='116.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='478.7' y1='99.5' x2='438.4' y2='113.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='438.4' y='113.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='473.1' y1='136.8' x2='392.5' y2='143.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='392.5' y='143.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='490.5' y1='139.5' x2='585.5' y2='181.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='585.5' y='181.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='812.3' y1='154.2' x2='828.6' y2='167.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='167.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='744.6' y1='235.7' x2='767.9' y2='221.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='767.9' y='221.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><text class='sa-dim sa-halo' x='827.3' y='257.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='521.5' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 22.2% Selection time per 1k features: 38.5 s Datasets: 71 Next to MI: 20.9%, 45.9 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 22.2% Selection time per 1k features: 38.5 s Datasets: 71 Next to MI: 20.9%, 45.9 s'/><circle class='sa-hit' cx='529.2' cy='51.4' r='10.5' data-tip='MI Improvement over Random: 20.9% Selection time per 1k features: 45.9 s Datasets: 71 Next to RFImportance: 22.2%, 38.5 s' aria-label='MI Improvement over Random: 20.9% Selection time per 1k features: 45.9 s Datasets: 71 Next to RFImportance: 22.2%, 38.5 s'/><circle class='sa-hit' cx='697.9' cy='55.2' r='10.5' data-tip='ElasticNet Improvement over Random: 20.6% Selection time per 1k features: 2.19e+03 s Datasets: 71 Next to Lasso: 19.4%, 2.07e+03 s' aria-label='ElasticNet 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Datasets: 71'/><circle class='sa-hit' cx='802.2' cy='97.1' r='10.5' data-tip='(R)ReliefF Improvement over Random: 17.7% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 17.7% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='478.7' cy='99.5' r='10.5' data-tip='CART Improvement over Random: 17.5% Selection time per 1k features: 14.4 s Datasets: 71' aria-label='CART Improvement over Random: 17.5% Selection time per 1k features: 14.4 s Datasets: 71'/><circle class='sa-hit' cx='473.1' cy='136.8' r='10.5' data-tip='GainRatio Improvement over Random: 15.0% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 14.8%, 18.9 s' aria-label='GainRatio Improvement over Random: 15.0% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 14.8%, 18.9 s'/><circle class='sa-hit' cx='490.5' cy='139.5' r='10.5' data-tip='MarkovBlanket Improvement over Random: 14.8% Selection 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RFImportance,22.2269,38.5063,71,True
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| 37 |
MI,20.8936,45.8704,71,False
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ElasticNet,20.6265,2189.5545,71,False
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1246.0'>1246<span class='sub'>+54 / β51</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1237.0'>1237<span class='sub'>+55 / β48</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1223.0'>1223<span class='sub'>+63 / β54</span></td><td class='num' data-sort='12.2'>12.2</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+49 / β47</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+45 / β46</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1162.0'>1162<span class='sub'>+49 / β44</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1152.0'>1152<span class='sub'>+47 / β47</span></td><td class='num' data-sort='11.8'>11.8</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1130.0'>1130<span class='sub'>+45 / β50</span></td><td class='num' data-sort='7.8'>7.8</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2680.3'>2,680.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1124.0'>1124<span class='sub'>+45 / β40</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1121.0'>1121<span class='sub'>+49 / β57</span></td><td class='num' data-sort='5.8'>5.8</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1866.7'>1,866.7</td><td class='num' data-sort='45.1'>45.1</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1119.0'>1119<span class='sub'>+46 / β43</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1108.0'>1108<span class='sub'>+42 / β46</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='246.0'>246.0</td><td class='num' data-sort='11.7'>11.7</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1106.0'>1106<span class='sub'>+46 / β48</span></td><td class='num' data-sort='7.8'>7.8</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+47 / β53</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='977.0'>977<span class='sub'>+58 / β69</span></td><td class='num' data-sort='-21.5'>-21.5</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1246.0,1195.0,1300.0,15.9,0.661,0.6,0.2,0.0
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2,ElasticNet,Non-search,Regularization,1237.0,1189.0,1292.0,13.7,0.419,0.665,6.2,0.0
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| 38 |
3,Lasso,Non-search,Regularization,1223.0,1169.0,1286.0,12.2,0.334,0.643,1.9,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1246.0'>1246<span class='sub'>+54 / β51</span></td><td class='num' data-sort='15.9'>15.9</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1237.0'>1237<span class='sub'>+55 / β48</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1223.0'>1223<span class='sub'>+63 / β54</span></td><td class='num' data-sort='12.2'>12.2</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+49 / β47</span></td><td class='num' data-sort='12.5'>12.5</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+45 / β46</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1162.0'>1162<span class='sub'>+49 / β44</span></td><td class='num' data-sort='11.1'>11.1</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1152.0'>1152<span class='sub'>+47 / β47</span></td><td class='num' data-sort='11.8'>11.8</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1130.0'>1130<span class='sub'>+45 / β50</span></td><td class='num' data-sort='7.8'>7.8</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2680.3'>2,680.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1124.0'>1124<span class='sub'>+45 / β40</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1121.0'>1121<span class='sub'>+49 / β57</span></td><td class='num' data-sort='5.8'>5.8</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1866.7'>1,866.7</td><td class='num' data-sort='45.1'>45.1</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1119.0'>1119<span class='sub'>+46 / β43</span></td><td class='num' data-sort='9.2'>9.2</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1108.0'>1108<span class='sub'>+42 / β46</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='246.0'>246.0</td><td class='num' data-sort='11.7'>11.7</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1106.0'>1106<span class='sub'>+46 / β48</span></td><td class='num' data-sort='7.8'>7.8</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+47 / β53</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='977.0'>977<span class='sub'>+58 / β69</span></td><td class='num' data-sort='-21.5'>-21.5</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1246.0,1195.0,1300.0,15.9,0.661,0.6,0.2,0.0
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| 39 |
2,ElasticNet,Non-search,Regularization,1237.0,1189.0,1292.0,13.7,0.419,0.665,6.2,0.0
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| 40 |
3,Lasso,Non-search,Regularization,1223.0,1169.0,1286.0,12.2,0.334,0.643,1.9,0.0
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r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 0.671 s Datasets: 70' aria-label='F-Test (on the Pareto front) Improvement over Random: 11.1% Selection time per 1k features: 0.671 s Datasets: 70'/><circle class='sa-hit' cx='476.8' cy='128.8' r='10.5' data-tip='CART Improvement over Random: 11.1% Selection time per 1k features: 14.7 s Datasets: 70' aria-label='CART Improvement over Random: 11.1% Selection time per 1k features: 14.7 s Datasets: 70'/><circle class='sa-hit' cx='470.6' cy='165.9' r='10.5' data-tip='GainRatio Improvement over Random: 9.2% Selection time per 1k features: 12.8 s Datasets: 70' aria-label='GainRatio Improvement over Random: 9.2% Selection time per 1k features: 12.8 s Datasets: 70'/><circle class='sa-hit' cx='797.8' cy='167.4' r='10.5' data-tip='(R)ReliefF Improvement over Random: 9.2% Selection time per 1k features: 2.42e+04 s Datasets: 70' aria-label='(R)ReliefF Improvement over Random: 9.2% 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70' aria-label='SBE Improvement over Random: 5.8% Selection time per 1k features: 2.41e+04 s Datasets: 70'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 70' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 70'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,15.8586,40.579,70,True
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ElasticNet,13.651,2100.4728,70,False
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data/subsets/tasks_all/models_linearmodel/budgets_4/leaderboard_table.html
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1220.0'>1220<span class='sub'>+53 / β48</span></td><td class='num' data-sort='10.6'>10.6</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+48 / β44</span></td><td class='num' data-sort='8.0'>8.0</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1187.0'>1187<span class='sub'>+48 / β39</span></td><td class='num' data-sort='9.5'>9.5</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1182.0'>1182<span class='sub'>+43 / β42</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+46 / β47</span></td><td class='num' data-sort='9.5'>9.5</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1170.0'>1170<span class='sub'>+54 / β46</span></td><td class='num' data-sort='6.8'>6.8</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+49 / β45</span></td><td class='num' data-sort='6.9'>6.9</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1138.0'>1138<span class='sub'>+52 / β45</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='13.4'>13.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1121.0'>1121<span class='sub'>+49 / β49</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1114.0'>1114<span class='sub'>+49 / β53</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1111.0'>1111<span class='sub'>+45 / β53</span></td><td class='num' data-sort='3.3'>3.3</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1035.1'>1,035.1</td><td class='num' data-sort='41.3'>41.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1102.0'>1102<span class='sub'>+46 / β46</span></td><td class='num' data-sort='4.0'>4.0</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3042.8'>3,042.8</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1089.0'>1089<span class='sub'>+45 / β46</span></td><td class='num' data-sort='3.6'>3.6</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='234.7'>234.7</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1042.0'>1042<span class='sub'>+56 / β66</span></td><td class='num' data-sort='-39154926337779.6'>-39,154,926,337,779.6</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+52 / β59</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1220.0,1172.0,1273.0,10.6,0.597,0.507,0.2,0.0
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2,F-Test,Non-search,Correlation,1189.0,1145.0,1237.0,8.0,0.562,0.689,0.0,0.0
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3,ElasticNet,Non-search,Regularization,1187.0,1148.0,1235.0,9.5,0.308,0.568,6.2,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1220.0'>1220<span class='sub'>+53 / β48</span></td><td class='num' data-sort='10.6'>10.6</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+48 / β44</span></td><td class='num' data-sort='8.0'>8.0</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1187.0'>1187<span class='sub'>+48 / β39</span></td><td class='num' data-sort='9.5'>9.5</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1182.0'>1182<span class='sub'>+43 / β42</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+46 / β47</span></td><td class='num' data-sort='9.5'>9.5</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1170.0'>1170<span class='sub'>+54 / β46</span></td><td class='num' data-sort='6.8'>6.8</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+49 / β45</span></td><td class='num' data-sort='6.9'>6.9</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1138.0'>1138<span class='sub'>+52 / β45</span></td><td class='num' data-sort='6.5'>6.5</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='13.4'>13.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1121.0'>1121<span class='sub'>+49 / β49</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1114.0'>1114<span class='sub'>+49 / β53</span></td><td class='num' data-sort='7.4'>7.4</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1111.0'>1111<span class='sub'>+45 / β53</span></td><td class='num' data-sort='3.3'>3.3</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1035.1'>1,035.1</td><td class='num' data-sort='41.3'>41.3</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1102.0'>1102<span class='sub'>+46 / β46</span></td><td class='num' data-sort='4.0'>4.0</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3042.8'>3,042.8</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1089.0'>1089<span class='sub'>+45 / β46</span></td><td class='num' data-sort='3.6'>3.6</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='234.7'>234.7</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1042.0'>1042<span class='sub'>+56 / β66</span></td><td class='num' data-sort='-39154926337779.6'>-39,154,926,337,779.6</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+52 / β59</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1220.0,1172.0,1273.0,10.6,0.597,0.507,0.2,0.0
|
| 39 |
2,F-Test,Non-search,Correlation,1189.0,1145.0,1237.0,8.0,0.562,0.689,0.0,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1187.0,1148.0,1235.0,9.5,0.308,0.568,6.2,0.0
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RFImportance,10.5744,38.5313,71,True
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ElasticNet,9.5109,2038.5127,71,False
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mRMR,9.488,113.6585,71,False
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y1='110.1' y2='110.1'/><text class='sa-text' x='57.9' y='116.1' text-anchor='end' font-size='15'>8</text><line class='sa-grid' x1='66.9' x2='847.8' y1='49.6' y2='49.6'/><text class='sa-text' x='57.9' y='55.6' text-anchor='end' font-size='15'>10</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 340.4,109.6 516.8,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='516.8' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='688.7' cy='64.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='563.6' cy='65.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='340.4' cy='109.6' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='524.0' cy='123.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='468.7' cy='127.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='483.4' cy='127.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.3' cy='143.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='687.2' cy='147.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.4' cy='154.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='231.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='737.5' cy='243.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='779.5' cy='251.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.4' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='516.8' y1='32.2' x2='392.7' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='392.7' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='688.7' y1='64.4' x2='767.4' y2='75.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='767.4' y='75.8' text-anchor='middle' 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font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='501.3' y='130.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='474.3' y1='143.8' x2='499.4' y2='169.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='499.4' y='169.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='687.2' y1='147.5' x2='653.2' y2='161.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='653.2' y='161.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><text class='sa-dim sa-halo' x='796.9' y='169.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='812.3' y1='231.0' x2='828.6' y2='203.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='203.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='737.5' y1='243.4' x2='773.4' y2='237.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='773.4' y='237.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='779.5' y1='251.6' x2='806.6' y2='265.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='806.6' y='265.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='516.8' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 10.6% Selection time per 1k features: 38.5 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 10.6% Selection time per 1k features: 38.5 s Datasets: 71'/><circle class='sa-hit' cx='688.7' cy='64.4' r='10.5' data-tip='ElasticNet Improvement over Random: 9.5% Selection time per 1k features: 2.04e+03 s Datasets: 71' aria-label='ElasticNet Improvement over Random: 9.5% Selection time per 1k features: 2.04e+03 s Datasets: 71'/><circle class='sa-hit' cx='563.6' cy='65.1' r='10.5' data-tip='mRMR Improvement over Random: 9.5% Selection time per 1k features: 114 s Datasets: 71' aria-label='mRMR Improvement over Random: 9.5% Selection time per 1k features: 114 s Datasets: 71'/><circle class='sa-hit' cx='340.4' cy='109.6' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 8.0% Selection time per 1k features: 0.657 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 8.0% Selection time per 1k features: 0.657 s Datasets: 71'/><circle class='sa-hit' cx='524.0' cy='123.8' r='10.5' data-tip='MI Improvement over Random: 7.5% Selection time per 1k features: 45.5 s Datasets: 71' aria-label='MI Improvement over Random: 7.5% Selection time per 1k features: 45.5 s Datasets: 71'/><circle class='sa-hit' cx='468.7' cy='127.0' r='10.5' data-tip='GainRatio Improvement over Random: 7.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 7.4%, 17.9 s Next to CART: 6.9%, 14.4 s' aria-label='GainRatio Improvement over Random: 7.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 7.4%, 17.9 s Next to CART: 6.9%, 14.4 s'/><circle class='sa-hit' cx='483.4' cy='127.0' r='10.5' data-tip='MarkovBlanket Improvement over Random: 7.4% Selection time per 1k features: 17.9 s Datasets: 71 Next to GainRatio: 7.4%, 12.7 s Next to CART: 6.9%, 14.4 s' aria-label='MarkovBlanket Improvement over Random: 7.4% Selection time per 1k features: 17.9 s Datasets: 71 Next to GainRatio: 7.4%, 12.7 s Next to CART: 6.9%, 14.4 s'/><circle class='sa-hit' cx='474.3' cy='143.8' r='10.5' data-tip='CART Improvement over Random: 6.9% Selection time per 1k features: 14.4 s Datasets: 71 Next to GainRatio: 7.4%, 12.7 s Next to MarkovBlanket: 7.4%, 17.9 s' aria-label='CART Improvement over Random: 6.9% Selection time per 1k features: 14.4 s Datasets: 71 Next to GainRatio: 7.4%, 12.7 s Next to MarkovBlanket: 7.4%, 17.9 s'/><circle class='sa-hit' cx='687.2' cy='147.5' r='10.5' data-tip='Lasso Improvement over Random: 6.8% Selection time per 1k features: 1.97e+03 s Datasets: 71' aria-label='Lasso Improvement over Random: 6.8% Selection time per 1k features: 1.97e+03 s Datasets: 71'/><circle class='sa-hit' cx='795.4' cy='154.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 6.5% Selection time per 1k features: 2.4e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 6.5% Selection time per 1k features: 2.4e+04 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='231.0' r='10.5' data-tip='SFS Improvement over Random: 4.0% Selection time per 1k features: 3.54e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 4.0% Selection time per 1k features: 3.54e+04 s Datasets: 71'/><circle class='sa-hit' cx='737.5' cy='243.4' r='10.5' data-tip='LOCO Improvement over Random: 3.6% Selection time per 1k features: 6.3e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 3.6% Selection time per 1k features: 6.3e+03 s Datasets: 71'/><circle class='sa-hit' cx='779.5' cy='251.6' r='10.5' data-tip='SBE Improvement over Random: 3.3% Selection time per 1k features: 1.66e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 3.3% Selection time per 1k features: 1.66e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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| 36 |
RFImportance,10.5744,38.5313,71,True
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| 37 |
ElasticNet,9.5109,2038.5127,71,False
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| 38 |
mRMR,9.488,113.6585,71,False
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1286.0'>1286<span class='sub'>+43 / β39</span></td><td class='num' data-sort='22.6'>22.6</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1282.0'>1282<span class='sub'>+44 / β36</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+43 / β41</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+32 / β30</span></td><td class='num' data-sort='23.2'>23.2</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1246.0'>1246<span class='sub'>+32 / β32</span></td><td class='num' data-sort='22.9'>22.9</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1232.0'>1232<span class='sub'>+41 / β36</span></td><td class='num' data-sort='22.0'>22.0</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+34 / β34</span></td><td class='num' data-sort='21.8'>21.8</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1196.0'>1196<span class='sub'>+33 / β32</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+33 / β31</span></td><td class='num' data-sort='18.4'>18.4</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+35 / β36</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2071.2'>2,071.2</td><td class='num' data-sort='43.6'>43.6</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+33 / β35</span></td><td class='num' data-sort='16.3'>16.3</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1135.0'>1135<span class='sub'>+33 / β36</span></td><td class='num' data-sort='12.0'>12.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='7.2'>7.2</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1130.0'>1130<span class='sub'>+34 / β40</span></td><td class='num' data-sort='8.4'>8.4</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2561.3'>2,561.3</td><td class='num' data-sort='46.7'>46.7</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+36 / β39</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='994.0'>994<span class='sub'>+46 / β54</span></td><td class='num' data-sort='-14.4'>-14.4</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,ElasticNet,Non-search,Regularization,1286.0,1247.0,1329.0,22.6,0.447,0.76,6.2,0.0
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2,RFImportance,Non-search,Tree,1282.0,1246.0,1326.0,24.6,0.643,0.669,0.2,0.0
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3,Lasso,Non-search,Regularization,1259.0,1218.0,1302.0,21.7,0.362,0.73,1.9,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1286.0'>1286<span class='sub'>+43 / β39</span></td><td class='num' data-sort='22.6'>22.6</td><td class='num shaded' data-sort='0.447' style='background:rgba(0,114,178,0.38)'>0.447</td><td class='num shaded' data-sort='0.76' style='background:rgba(213,94,0,0.59)'>0.760</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1282.0'>1282<span class='sub'>+44 / β36</span></td><td class='num' data-sort='24.6'>24.6</td><td class='num shaded' data-sort='0.643' style='background:rgba(0,114,178,0.51)'>0.643</td><td class='num shaded' data-sort='0.669' style='background:rgba(213,94,0,0.53)'>0.669</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+43 / β41</span></td><td class='num' data-sort='21.7'>21.7</td><td class='num shaded' data-sort='0.362' style='background:rgba(0,114,178,0.32)'>0.362</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+32 / β30</span></td><td class='num' data-sort='23.2'>23.2</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.785' style='background:rgba(213,94,0,0.61)'>0.785</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1246.0'>1246<span class='sub'>+32 / β32</span></td><td class='num' data-sort='22.9'>22.9</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.846' style='background:rgba(213,94,0,0.65)'>0.846</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1232.0'>1232<span class='sub'>+41 / β36</span></td><td class='num' data-sort='22.0'>22.0</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.586' style='background:rgba(213,94,0,0.47)'>0.586</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+34 / β34</span></td><td class='num' data-sort='21.8'>21.8</td><td class='num shaded' data-sort='0.604' style='background:rgba(0,114,178,0.48)'>0.604</td><td class='num shaded' data-sort='0.655' style='background:rgba(213,94,0,0.52)'>0.655</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='3.4'>3.4</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1196.0'>1196<span class='sub'>+33 / β32</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1189.0'>1189<span class='sub'>+33 / β31</span></td><td class='num' data-sort='18.4'>18.4</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1186.0'>1186<span class='sub'>+35 / β36</span></td><td class='num' data-sort='17.7'>17.7</td><td class='num shaded' data-sort='0.267' style='background:rgba(0,114,178,0.26)'>0.267</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2071.2'>2,071.2</td><td class='num' data-sort='43.6'>43.6</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+33 / β35</span></td><td class='num' data-sort='16.3'>16.3</td><td class='num shaded' data-sort='0.646' style='background:rgba(0,114,178,0.51)'>0.646</td><td class='num shaded' data-sort='0.74' style='background:rgba(213,94,0,0.58)'>0.740</td><td class='num' data-sort='13.2'>13.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1135.0'>1135<span class='sub'>+33 / β36</span></td><td class='num' data-sort='12.0'>12.0</td><td class='num shaded' data-sort='0.173' style='background:rgba(0,114,178,0.20)'>0.173</td><td class='num shaded' data-sort='0.583' style='background:rgba(213,94,0,0.47)'>0.583</td><td class='num' data-sort='242.0'>242.0</td><td class='num' data-sort='7.2'>7.2</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1130.0'>1130<span class='sub'>+34 / β40</span></td><td class='num' data-sort='8.4'>8.4</td><td class='num shaded' data-sort='0.132' style='background:rgba(0,114,178,0.17)'>0.132</td><td class='num shaded' data-sort='0.56' style='background:rgba(213,94,0,0.46)'>0.560</td><td class='num' data-sort='2561.3'>2,561.3</td><td class='num' data-sort='46.7'>46.7</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+36 / β39</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='994.0'>994<span class='sub'>+46 / β54</span></td><td class='num' data-sort='-14.4'>-14.4</td><td class='num shaded' data-sort='0.652' style='background:rgba(0,114,178,0.52)'>0.652</td><td class='num shaded' data-sort='0.797' style='background:rgba(213,94,0,0.61)'>0.797</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,ElasticNet,Non-search,Regularization,1286.0,1247.0,1329.0,22.6,0.447,0.76,6.2,0.0
|
| 39 |
2,RFImportance,Non-search,Tree,1282.0,1246.0,1326.0,24.6,0.643,0.669,0.2,0.0
|
| 40 |
3,Lasso,Non-search,Regularization,1259.0,1218.0,1302.0,21.7,0.362,0.73,1.9,0.0
|
data/subsets/tasks_all/models_linearmodel/budgets_all/pareto.html
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font-weight='700'>optimal</text><polyline points='102.4,352.0 344.2,54.5 523.5,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='523.5' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='530.9' cy='50.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='344.2' cy='54.5' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='698.4' cy='58.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='480.3' cy='66.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='534.6' cy='68.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='696.5' cy='69.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='491.8' cy='104.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.6' cy='112.9' r='5.8' fill='#d3d3d3' 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Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='523.5' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 24.6% Selection time per 1k features: 38.8 s Datasets: 71 Next to MI: 23.2%, 46 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 24.6% Selection time per 1k features: 38.8 s Datasets: 71 Next to MI: 23.2%, 46 s'/><circle class='sa-hit' cx='530.9' cy='50.5' r='10.5' data-tip='MI Improvement over Random: 23.2% Selection time per 1k features: 46 s Datasets: 71 Next to RFImportance: 24.6%, 38.8 s Next to mRMR: 21.8%, 50 s' aria-label='MI Improvement over Random: 23.2% Selection time per 1k features: 46 s Datasets: 71 Next to RFImportance: 24.6%, 38.8 s Next to mRMR: 21.8%, 50 s'/><circle class='sa-hit' cx='344.2' cy='54.5' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 22.9% Selection time per 1k features: 0.647 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 22.9% Selection time per 1k features: 0.647 s Datasets: 71'/><circle class='sa-hit' cx='698.4' cy='58.4' r='10.5' data-tip='ElasticNet Improvement over Random: 22.6% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 21.7%, 2.01e+03 s' aria-label='ElasticNet Improvement over Random: 22.6% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 21.7%, 2.01e+03 s'/><circle class='sa-hit' cx='480.3' cy='66.1' r='10.5' data-tip='CART Improvement over Random: 22.0% Selection time per 1k features: 14.5 s Datasets: 71' aria-label='CART Improvement over Random: 22.0% Selection time per 1k features: 14.5 s Datasets: 71'/><circle class='sa-hit' cx='534.6' cy='68.0' r='10.5' data-tip='mRMR Improvement over Random: 21.8% Selection time per 1k features: 50 s Datasets: 71 Next to MI: 23.2%, 46 s' aria-label='mRMR Improvement over Random: 21.8% Selection time per 1k features: 50 s Datasets: 71 Next to MI: 23.2%, 46 s'/><circle class='sa-hit' cx='696.5' cy='69.7' r='10.5' data-tip='Lasso Improvement over Random: 21.7% Selection time per 1k features: 2.01e+03 s Datasets: 71 Next to ElasticNet: 22.6%, 2.1e+03 s' aria-label='Lasso Improvement over Random: 21.7% Selection time per 1k features: 2.01e+03 s Datasets: 71 Next to ElasticNet: 22.6%, 2.1e+03 s'/><circle class='sa-hit' cx='491.8' cy='104.4' r='10.5' data-tip='MarkovBlanket Improvement over Random: 19.0% Selection time per 1k features: 18.8 s Datasets: 71 Next to GainRatio: 18.4%, 12.7 s' aria-label='MarkovBlanket Improvement over Random: 19.0% Selection time per 1k features: 18.8 s Datasets: 71 Next to GainRatio: 18.4%, 12.7 s'/><circle class='sa-hit' cx='474.6' cy='112.9' r='10.5' data-tip='GainRatio Improvement over Random: 18.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 19.0%, 18.8 s' aria-label='GainRatio Improvement over Random: 18.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 19.0%, 18.8 s'/><circle class='sa-hit' cx='812.3' cy='121.4' r='10.5' data-tip='SFS Improvement over Random: 17.7% Selection time per 1k features: 2.83e+04 s Datasets: 71 Next to (R)ReliefF: 16.3%, 2.39e+04 s' aria-label='SFS Improvement over Random: 17.7% Selection time per 1k features: 2.83e+04 s Datasets: 71 Next to (R)ReliefF: 16.3%, 2.39e+04 s'/><circle class='sa-hit' cx='804.9' cy='140.3' r='10.5' data-tip='(R)ReliefF Improvement over Random: 16.3% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 17.7%, 2.83e+04 s' aria-label='(R)ReliefF Improvement over Random: 16.3% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 17.7%, 2.83e+04 s'/><circle class='sa-hit' cx='746.8' cy='196.3' r='10.5' data-tip='LOCO Improvement over Random: 12.0% Selection time per 1k features: 6.34e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 12.0% Selection time per 1k features: 6.34e+03 s Datasets: 71'/><circle class='sa-hit' cx='811.4' cy='242.8' r='10.5' data-tip='SBE Improvement over Random: 8.4% Selection time per 1k features: 2.77e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 8.4% Selection time per 1k features: 2.77e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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| 36 |
RFImportance,24.5664,38.8189,71,True
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| 37 |
MI,23.1632,45.9696,71,False
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| 38 |
F-Test,22.8523,0.6474,71,True
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font-weight='700'>optimal</text><polyline points='102.4,352.0 344.2,54.5 523.5,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='523.5' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='530.9' cy='50.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='344.2' cy='54.5' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='698.4' cy='58.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='480.3' cy='66.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='534.6' cy='68.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='696.5' cy='69.7' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='491.8' cy='104.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='474.6' cy='112.9' r='5.8' fill='#d3d3d3' 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dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='344.2' y1='54.5' x2='294.4' y2='57.4' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='294.4' y='57.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='698.4' y1='58.4' x2='786.3' y2='54.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='786.3' y='54.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><text class='sa-dim sa-halo' x='467.1' y='51.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='534.6' y1='68.0' x2='563.5' y2='82.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='563.5' y='82.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='696.5' y1='69.7' x2='732.2' y2='84.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='732.2' y='84.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='491.8' y1='104.4' x2='375.9' y2='94.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='375.9' y='94.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='474.6' y1='112.9' x2='545.7' y2='127.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='545.7' y='127.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><text class='sa-dim sa-halo' x='825.5' y='107.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='804.9' y1='140.3' x2='739.6' y2='154.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='739.6' y='154.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='746.8' y1='196.3' x2='714.0' y2='210.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='714.0' y='210.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='811.4' y1='242.8' x2='786.9' y2='256.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='786.9' y='256.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='523.5' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 24.6% Selection time per 1k features: 38.8 s Datasets: 71 Next to MI: 23.2%, 46 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 24.6% Selection time per 1k features: 38.8 s Datasets: 71 Next to MI: 23.2%, 46 s'/><circle class='sa-hit' cx='530.9' cy='50.5' r='10.5' data-tip='MI Improvement over Random: 23.2% Selection time per 1k features: 46 s Datasets: 71 Next to RFImportance: 24.6%, 38.8 s Next to mRMR: 21.8%, 50 s' aria-label='MI Improvement over Random: 23.2% Selection time per 1k features: 46 s Datasets: 71 Next to RFImportance: 24.6%, 38.8 s Next to mRMR: 21.8%, 50 s'/><circle class='sa-hit' cx='344.2' cy='54.5' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 22.9% Selection time per 1k features: 0.647 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 22.9% Selection time per 1k features: 0.647 s Datasets: 71'/><circle class='sa-hit' cx='698.4' cy='58.4' r='10.5' data-tip='ElasticNet Improvement over Random: 22.6% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 21.7%, 2.01e+03 s' aria-label='ElasticNet Improvement over Random: 22.6% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 21.7%, 2.01e+03 s'/><circle class='sa-hit' cx='480.3' cy='66.1' r='10.5' data-tip='CART Improvement over Random: 22.0% Selection time per 1k features: 14.5 s Datasets: 71' aria-label='CART Improvement over Random: 22.0% Selection time per 1k features: 14.5 s Datasets: 71'/><circle class='sa-hit' cx='534.6' cy='68.0' r='10.5' data-tip='mRMR Improvement over Random: 21.8% Selection time per 1k features: 50 s Datasets: 71 Next to MI: 23.2%, 46 s' aria-label='mRMR Improvement over Random: 21.8% Selection time per 1k features: 50 s Datasets: 71 Next to MI: 23.2%, 46 s'/><circle class='sa-hit' cx='696.5' cy='69.7' r='10.5' data-tip='Lasso Improvement over Random: 21.7% Selection time per 1k features: 2.01e+03 s Datasets: 71 Next to ElasticNet: 22.6%, 2.1e+03 s' aria-label='Lasso Improvement over Random: 21.7% Selection time per 1k features: 2.01e+03 s Datasets: 71 Next to ElasticNet: 22.6%, 2.1e+03 s'/><circle class='sa-hit' cx='491.8' cy='104.4' r='10.5' data-tip='MarkovBlanket Improvement over Random: 19.0% Selection time per 1k features: 18.8 s Datasets: 71 Next to GainRatio: 18.4%, 12.7 s' aria-label='MarkovBlanket Improvement over Random: 19.0% Selection time per 1k features: 18.8 s Datasets: 71 Next to GainRatio: 18.4%, 12.7 s'/><circle class='sa-hit' cx='474.6' cy='112.9' r='10.5' data-tip='GainRatio Improvement over Random: 18.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 19.0%, 18.8 s' aria-label='GainRatio Improvement over Random: 18.4% Selection time per 1k features: 12.7 s Datasets: 71 Next to MarkovBlanket: 19.0%, 18.8 s'/><circle class='sa-hit' cx='812.3' cy='121.4' r='10.5' data-tip='SFS Improvement over Random: 17.7% Selection time per 1k features: 2.83e+04 s Datasets: 71 Next to (R)ReliefF: 16.3%, 2.39e+04 s' aria-label='SFS Improvement over Random: 17.7% Selection time per 1k features: 2.83e+04 s Datasets: 71 Next to (R)ReliefF: 16.3%, 2.39e+04 s'/><circle class='sa-hit' cx='804.9' cy='140.3' r='10.5' data-tip='(R)ReliefF Improvement over Random: 16.3% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 17.7%, 2.83e+04 s' aria-label='(R)ReliefF Improvement over Random: 16.3% Selection time per 1k features: 2.39e+04 s Datasets: 71 Next to SFS: 17.7%, 2.83e+04 s'/><circle class='sa-hit' cx='746.8' cy='196.3' r='10.5' data-tip='LOCO Improvement over Random: 12.0% Selection time per 1k features: 6.34e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 12.0% Selection time per 1k features: 6.34e+03 s Datasets: 71'/><circle class='sa-hit' cx='811.4' cy='242.8' r='10.5' data-tip='SBE Improvement over Random: 8.4% Selection time per 1k features: 2.77e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 8.4% Selection time per 1k features: 2.77e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,24.5664,38.8189,71,True
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| 37 |
MI,23.1632,45.9696,71,False
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| 38 |
F-Test,22.8523,0.6474,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1311.0'>1311<span class='sub'>+63 / β49</span></td><td class='num' data-sort='29.6'>29.6</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1278.0'>1278<span class='sub'>+44 / β44</span></td><td class='num' data-sort='29.8'>29.8</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+59 / β47</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1262.0'>1262<span class='sub'>+48 / β46</span></td><td class='num' data-sort='28.1'>28.1</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+53 / β51</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1245.0'>1245<span class='sub'>+54 / β49</span></td><td class='num' data-sort='23.1'>23.1</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='977.7'>977.7</td><td class='num' data-sort='29.6'>29.6</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1236.0'>1236<span class='sub'>+46 / β46</span></td><td class='num' data-sort='24.2'>24.2</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1234.0'>1234<span class='sub'>+46 / β44</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+48 / β45</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+53 / β54</span></td><td class='num' data-sort='21.5'>21.5</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+42 / β45</span></td><td class='num' data-sort='23.2'>23.2</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1151.0'>1151<span class='sub'>+51 / β49</span></td><td class='num' data-sort='12.6'>12.6</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3536.1'>3,536.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1129.0'>1129<span class='sub'>+45 / β46</span></td><td class='num' data-sort='13.1'>13.1</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='254.9'>254.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1003.0'>1003<span class='sub'>+65 / β81</span></td><td class='num' data-sort='-11.0'>-11.0</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+49 / β60</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1311.0,1262.0,1374.0,29.6,0.628,0.805,0.2,0.0
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2,MI,Non-search,Information theory,1278.0,1234.0,1322.0,29.8,0.645,0.898,0.4,0.0
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3,CART,Non-search,Tree,1265.0,1218.0,1324.0,27.1,0.484,0.731,0.0,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1311.0'>1311<span class='sub'>+63 / β49</span></td><td class='num' data-sort='29.6'>29.6</td><td class='num shaded' data-sort='0.628' style='background:rgba(0,114,178,0.50)'>0.628</td><td class='num shaded' data-sort='0.805' style='background:rgba(213,94,0,0.62)'>0.805</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1278.0'>1278<span class='sub'>+44 / β44</span></td><td class='num' data-sort='29.8'>29.8</td><td class='num shaded' data-sort='0.645' style='background:rgba(0,114,178,0.51)'>0.645</td><td class='num shaded' data-sort='0.898' style='background:rgba(213,94,0,0.68)'>0.898</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+59 / β47</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.484' style='background:rgba(0,114,178,0.40)'>0.484</td><td class='num shaded' data-sort='0.731' style='background:rgba(213,94,0,0.57)'>0.731</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1262.0'>1262<span class='sub'>+48 / β46</span></td><td class='num' data-sort='28.1'>28.1</td><td class='num shaded' data-sort='0.725' style='background:rgba(0,114,178,0.57)'>0.725</td><td class='num shaded' data-sort='0.952' style='background:rgba(213,94,0,0.72)'>0.952</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1257.0'>1257<span class='sub'>+53 / β51</span></td><td class='num' data-sort='27.1'>27.1</td><td class='num shaded' data-sort='0.418' style='background:rgba(0,114,178,0.36)'>0.418</td><td class='num shaded' data-sort='0.465' style='background:rgba(213,94,0,0.39)'>0.465</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1245.0'>1245<span class='sub'>+54 / β49</span></td><td class='num' data-sort='23.1'>23.1</td><td class='num shaded' data-sort='0.368' style='background:rgba(0,114,178,0.33)'>0.368</td><td class='num shaded' data-sort='0.75' style='background:rgba(213,94,0,0.58)'>0.750</td><td class='num' data-sort='977.7'>977.7</td><td class='num' data-sort='29.6'>29.6</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1236.0'>1236<span class='sub'>+46 / β46</span></td><td class='num' data-sort='24.2'>24.2</td><td class='num shaded' data-sort='0.679' style='background:rgba(0,114,178,0.53)'>0.679</td><td class='num shaded' data-sort='0.942' style='background:rgba(213,94,0,0.71)'>0.942</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1234.0'>1234<span class='sub'>+46 / β44</span></td><td class='num' data-sort='24.5'>24.5</td><td class='num shaded' data-sort='0.509' style='background:rgba(0,114,178,0.42)'>0.509</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='6.2'>6.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1213.0'>1213<span class='sub'>+48 / β45</span></td><td class='num' data-sort='23.3'>23.3</td><td class='num shaded' data-sort='0.528' style='background:rgba(0,114,178,0.43)'>0.528</td><td class='num shaded' data-sort='0.779' style='background:rgba(213,94,0,0.60)'>0.779</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+53 / β54</span></td><td class='num' data-sort='21.5'>21.5</td><td class='num shaded' data-sort='0.642' style='background:rgba(0,114,178,0.51)'>0.642</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1201.0'>1201<span class='sub'>+42 / β45</span></td><td class='num' data-sort='23.2'>23.2</td><td class='num shaded' data-sort='0.421' style='background:rgba(0,114,178,0.36)'>0.421</td><td class='num shaded' data-sort='0.89' style='background:rgba(213,94,0,0.68)'>0.890</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1151.0'>1151<span class='sub'>+51 / β49</span></td><td class='num' data-sort='12.6'>12.6</td><td class='num shaded' data-sort='0.195' style='background:rgba(0,114,178,0.21)'>0.195</td><td class='num shaded' data-sort='0.621' style='background:rgba(213,94,0,0.50)'>0.621</td><td class='num' data-sort='3536.1'>3,536.1</td><td class='num' data-sort='49.3'>49.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1129.0'>1129<span class='sub'>+45 / β46</span></td><td class='num' data-sort='13.1'>13.1</td><td class='num shaded' data-sort='0.299' style='background:rgba(0,114,178,0.28)'>0.299</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='254.9'>254.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1003.0'>1003<span class='sub'>+65 / β81</span></td><td class='num' data-sort='-11.0'>-11.0</td><td class='num shaded' data-sort='0.588' style='background:rgba(0,114,178,0.47)'>0.588</td><td class='num shaded' data-sort='0.847' style='background:rgba(213,94,0,0.65)'>0.847</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+49 / β60</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.493' style='background:rgba(213,94,0,0.41)'>0.493</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1311.0,1262.0,1374.0,29.6,0.628,0.805,0.2,0.0
|
| 39 |
2,MI,Non-search,Information theory,1278.0,1234.0,1322.0,29.8,0.645,0.898,0.4,0.0
|
| 40 |
3,CART,Non-search,Tree,1265.0,1218.0,1324.0,27.1,0.484,0.731,0.0,0.0
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x1='658.4' x2='658.4' y1='16.2' y2='368.0'/><text class='sa-text' x='658.4' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='757.9' x2='757.9' y1='16.2' y2='368.0'/><text class='sa-text' x='757.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='67.0' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='58.0' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='67.0' x2='847.8' y1='298.4' y2='298.4'/><text class='sa-text' x='58.0' y='304.4' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='67.0' x2='847.8' y1='244.7' y2='244.7'/><text class='sa-text' x='58.0' y='250.7' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='67.0' x2='847.8' y1='191.1' y2='191.1'/><text class='sa-text' x='58.0' y='197.1' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='67.0' x2='847.8' y1='137.4' y2='137.4'/><text class='sa-text' x='58.0' y='143.4' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='83.7' y2='83.7'/><text class='sa-text' x='58.0' y='89.7' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='30.1' y2='30.1'/><text class='sa-text' x='58.0' y='36.1' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='16.2' width='780.8' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='51.9' x2='69.0' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.6' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.5,352.0 339.8,50.4 517.8,34.2 526.1,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='526.1' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='517.8' cy='34.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='339.8' cy='50.4' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='475.2' cy='61.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='486.8' cy='61.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='691.0' cy='89.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='469.6' cy='92.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='480.2' cy='102.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='687.3' cy='102.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='781.8' cy='104.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.5' cy='120.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='738.9' cy='211.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='217.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.5' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='526.1' y1='32.2' x2='423.4' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='423.4' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>MI</text><line class='sa-ink' x1='517.8' y1='34.2' x2='417.2' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='417.2' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='339.8' y1='50.4' x2='257.9' y2='56.7' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='257.9' y='56.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='475.2' y1='61.2' x2='596.1' y2='48.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='596.1' y='48.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='486.8' y1='61.3' x2='590.7' y2='80.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='590.7' y='80.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='691.0' y1='89.6' x2='750.8' y2='54.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='750.8' y='54.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='469.6' y1='92.5' x2='389.7' y2='78.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='389.7' y='78.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='480.2' y1='102.3' x2='524.9' y2='116.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='524.9' y='116.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='687.3' y1='102.9' x2='653.6' y2='117.2' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='653.6' y='117.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='781.8' y1='104.2' x2='806.9' y2='89.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='806.9' y='89.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><text class='sa-dim sa-halo' x='797.0' y='135.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='738.9' y1='211.9' x2='762.2' y2='197.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='762.2' y='197.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><text class='sa-dim sa-halo' x='827.3' y='231.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.5' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='526.1' cy='32.2' r='10.5' data-tip='MI (on the Pareto front) Improvement over Random: 29.8% Selection time per 1k features: 46.9 s Datasets: 71 Next to RFImportance: 29.6%, 38.7 s' aria-label='MI (on the Pareto front) Improvement over Random: 29.8% Selection time per 1k features: 46.9 s Datasets: 71 Next to RFImportance: 29.6%, 38.7 s'/><circle class='sa-hit' cx='517.8' cy='34.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 29.6% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 29.8%, 46.9 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 29.6% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 29.8%, 46.9 s'/><circle class='sa-hit' cx='339.8' cy='50.4' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 28.1% Selection time per 1k features: 0.63 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 28.1% Selection time per 1k features: 0.63 s Datasets: 71'/><circle class='sa-hit' cx='475.2' cy='61.2' r='10.5' data-tip='CART Improvement over Random: 27.1% Selection time per 1k features: 14.5 s Datasets: 71 Next to MarkovBlanket: 27.1%, 18.9 s' aria-label='CART Improvement over Random: 27.1% Selection time per 1k features: 14.5 s Datasets: 71 Next to MarkovBlanket: 27.1%, 18.9 s'/><circle class='sa-hit' cx='486.8' cy='61.3' r='10.5' data-tip='MarkovBlanket Improvement over Random: 27.1% Selection time per 1k features: 18.9 s Datasets: 71 Next to CART: 27.1%, 14.5 s' aria-label='MarkovBlanket Improvement over Random: 27.1% Selection time per 1k features: 18.9 s Datasets: 71 Next to CART: 27.1%, 14.5 s'/><circle class='sa-hit' cx='691.0' cy='89.6' r='10.5' data-tip='ElasticNet Improvement over Random: 24.4% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 23.2%, 1.95e+03 s' aria-label='ElasticNet Improvement over Random: 24.4% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 23.2%, 1.95e+03 s'/><circle class='sa-hit' cx='469.6' cy='92.5' r='10.5' data-tip='GainRatio Improvement over Random: 24.2% Selection time per 1k features: 12.7 s Datasets: 71 Next to mRMR: 23.3%, 16.2 s' aria-label='GainRatio Improvement over Random: 24.2% Selection time per 1k features: 12.7 s Datasets: 71 Next to mRMR: 23.3%, 16.2 s'/><circle class='sa-hit' cx='480.2' cy='102.3' r='10.5' data-tip='mRMR Improvement over Random: 23.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to GainRatio: 24.2%, 12.7 s' aria-label='mRMR Improvement over Random: 23.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to GainRatio: 24.2%, 12.7 s'/><circle class='sa-hit' cx='687.3' cy='102.9' r='10.5' data-tip='Lasso Improvement over Random: 23.2% Selection time per 1k features: 1.95e+03 s Datasets: 71 Next to ElasticNet: 24.4%, 2.12e+03 s' aria-label='Lasso Improvement over Random: 23.2% Selection time per 1k features: 1.95e+03 s Datasets: 71 Next to ElasticNet: 24.4%, 2.12e+03 s'/><circle class='sa-hit' cx='781.8' cy='104.2' r='10.5' data-tip='SFS Improvement over Random: 23.1% Selection time per 1k features: 1.74e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 23.1% Selection time per 1k features: 1.74e+04 s Datasets: 71'/><circle class='sa-hit' cx='795.5' cy='120.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 21.5% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 21.5% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='738.9' cy='211.9' r='10.5' data-tip='LOCO Improvement over Random: 13.1% Selection time per 1k features: 6.44e+03 s Datasets: 71' aria-label='LOCO 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| 36 |
MI,29.8025,46.9055,71,True
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| 37 |
RFImportance,29.6115,38.7025,71,True
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F-Test,28.1089,0.63,71,True
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</style><line class='sa-grid' x1='160.7' x2='160.7' y1='16.2' y2='368.0'/><text class='sa-text' x='160.7' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-2</tspan></text><line class='sa-grid' x1='260.2' x2='260.2' y1='16.2' y2='368.0'/><text class='sa-text' x='260.2' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>-1</tspan></text><line class='sa-grid' x1='359.8' x2='359.8' y1='16.2' y2='368.0'/><text class='sa-text' x='359.8' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>0</tspan></text><line class='sa-grid' x1='459.3' x2='459.3' y1='16.2' y2='368.0'/><text class='sa-text' x='459.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>1</tspan></text><line class='sa-grid' x1='558.8' x2='558.8' y1='16.2' y2='368.0'/><text class='sa-text' x='558.8' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>2</tspan></text><line class='sa-grid' x1='658.4' x2='658.4' y1='16.2' y2='368.0'/><text class='sa-text' x='658.4' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='757.9' x2='757.9' y1='16.2' y2='368.0'/><text class='sa-text' x='757.9' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='67.0' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='58.0' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='67.0' x2='847.8' y1='298.4' y2='298.4'/><text class='sa-text' x='58.0' y='304.4' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='67.0' x2='847.8' y1='244.7' y2='244.7'/><text class='sa-text' x='58.0' y='250.7' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='67.0' x2='847.8' y1='191.1' y2='191.1'/><text class='sa-text' x='58.0' y='197.1' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='67.0' x2='847.8' y1='137.4' y2='137.4'/><text class='sa-text' x='58.0' y='143.4' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='83.7' y2='83.7'/><text class='sa-text' x='58.0' y='89.7' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='30.1' y2='30.1'/><text class='sa-text' x='58.0' y='36.1' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='16.2' width='780.8' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='51.9' x2='69.0' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.6' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.5,352.0 339.8,50.4 517.8,34.2 526.1,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='526.1' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='517.8' cy='34.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='339.8' cy='50.4' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='475.2' cy='61.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='486.8' cy='61.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='691.0' cy='89.6' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='469.6' cy='92.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='480.2' cy='102.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='687.3' cy='102.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='781.8' cy='104.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='795.5' cy='120.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='738.9' cy='211.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='812.3' cy='217.2' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='102.5' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='526.1' y1='32.2' x2='423.5' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='423.5' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>MI</text><line class='sa-ink' x1='517.8' y1='34.2' x2='417.7' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='417.7' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='339.8' y1='50.4' x2='246.6' y2='59.5' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='246.6' y='59.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='475.2' y1='61.2' x2='587.3' y2='46.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='587.3' y='46.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>CART</text><line class='sa-ink' x1='486.8' y1='61.3' x2='590.7' y2='83.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='590.7' y='83.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='691.0' y1='89.6' x2='759.0' y2='46.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='759.0' y='46.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='469.6' y1='92.5' x2='392.2' y2='81.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='392.2' y='81.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='480.2' y1='102.3' x2='525.6' y2='116.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='525.6' y='116.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='687.3' y1='102.9' x2='654.9' y2='116.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='654.9' y='116.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='781.8' y1='104.2' x2='806.9' y2='89.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='806.9' y='89.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><text class='sa-dim sa-halo' x='797.0' y='134.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='738.9' y1='211.9' x2='762.2' y2='197.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='762.2' y='197.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><text class='sa-dim sa-halo' x='827.3' y='231.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='102.5' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='526.1' cy='32.2' r='10.5' data-tip='MI (on the Pareto front) Improvement over Random: 29.8% Selection time per 1k features: 46.9 s Datasets: 71 Next to RFImportance: 29.6%, 38.7 s' aria-label='MI (on the Pareto front) Improvement over Random: 29.8% Selection time per 1k features: 46.9 s Datasets: 71 Next to RFImportance: 29.6%, 38.7 s'/><circle class='sa-hit' cx='517.8' cy='34.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 29.6% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 29.8%, 46.9 s' aria-label='RFImportance (on the Pareto front) Improvement over Random: 29.6% Selection time per 1k features: 38.7 s Datasets: 71 Next to MI: 29.8%, 46.9 s'/><circle class='sa-hit' cx='339.8' cy='50.4' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 28.1% Selection time per 1k features: 0.63 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 28.1% Selection time per 1k features: 0.63 s Datasets: 71'/><circle class='sa-hit' cx='475.2' cy='61.2' r='10.5' data-tip='CART Improvement over Random: 27.1% Selection time per 1k features: 14.5 s Datasets: 71 Next to MarkovBlanket: 27.1%, 18.9 s' aria-label='CART Improvement over Random: 27.1% Selection time per 1k features: 14.5 s Datasets: 71 Next to MarkovBlanket: 27.1%, 18.9 s'/><circle class='sa-hit' cx='486.8' cy='61.3' r='10.5' data-tip='MarkovBlanket Improvement over Random: 27.1% Selection time per 1k features: 18.9 s Datasets: 71 Next to CART: 27.1%, 14.5 s' aria-label='MarkovBlanket Improvement over Random: 27.1% Selection time per 1k features: 18.9 s Datasets: 71 Next to CART: 27.1%, 14.5 s'/><circle class='sa-hit' cx='691.0' cy='89.6' r='10.5' data-tip='ElasticNet Improvement over Random: 24.4% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 23.2%, 1.95e+03 s' aria-label='ElasticNet Improvement over Random: 24.4% Selection time per 1k features: 2.12e+03 s Datasets: 71 Next to Lasso: 23.2%, 1.95e+03 s'/><circle class='sa-hit' cx='469.6' cy='92.5' r='10.5' data-tip='GainRatio Improvement over Random: 24.2% Selection time per 1k features: 12.7 s Datasets: 71 Next to mRMR: 23.3%, 16.2 s' aria-label='GainRatio Improvement over Random: 24.2% Selection time per 1k features: 12.7 s Datasets: 71 Next to mRMR: 23.3%, 16.2 s'/><circle class='sa-hit' cx='480.2' cy='102.3' r='10.5' data-tip='mRMR Improvement over Random: 23.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to GainRatio: 24.2%, 12.7 s' aria-label='mRMR Improvement over Random: 23.3% Selection time per 1k features: 16.2 s Datasets: 71 Next to GainRatio: 24.2%, 12.7 s'/><circle class='sa-hit' cx='687.3' cy='102.9' r='10.5' data-tip='Lasso Improvement over Random: 23.2% Selection time per 1k features: 1.95e+03 s Datasets: 71 Next to ElasticNet: 24.4%, 2.12e+03 s' aria-label='Lasso Improvement over Random: 23.2% Selection time per 1k features: 1.95e+03 s Datasets: 71 Next to ElasticNet: 24.4%, 2.12e+03 s'/><circle class='sa-hit' cx='781.8' cy='104.2' r='10.5' data-tip='SFS Improvement over Random: 23.1% Selection time per 1k features: 1.74e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 23.1% Selection time per 1k features: 1.74e+04 s Datasets: 71'/><circle class='sa-hit' cx='795.5' cy='120.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 21.5% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 21.5% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='738.9' cy='211.9' r='10.5' data-tip='LOCO Improvement over Random: 13.1% Selection time per 1k features: 6.44e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 13.1% Selection time per 1k features: 6.44e+03 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='217.2' r='10.5' data-tip='SBE Improvement over Random: 12.6% Selection time per 1k features: 3.52e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 12.6% Selection time per 1k features: 3.52e+04 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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MI,29.8025,46.9055,71,True
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| 37 |
RFImportance,29.6115,38.7025,71,True
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F-Test,28.1089,0.63,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1370.0'>1370<span class='sub'>+47 / β47</span></td><td class='num' data-sort='30.7'>30.7</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1316.0'>1316<span class='sub'>+47 / β42</span></td><td class='num' data-sort='28.2'>28.2</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1310.0'>1310<span class='sub'>+52 / β50</span></td><td class='num' data-sort='26.0'>26.0</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.6'>6.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1296.0'>1296<span class='sub'>+49 / β51</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1293.0'>1293<span class='sub'>+40 / β37</span></td><td class='num' data-sort='28.5'>28.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+47 / β40</span></td><td class='num' data-sort='26.3'>26.3</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1272.0'>1272<span class='sub'>+45 / β45</span></td><td class='num' data-sort='26.7'>26.7</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1266.0'>1266<span class='sub'>+50 / β47</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1254.0'>1254<span class='sub'>+45 / β43</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1243.0'>1243<span class='sub'>+57 / β55</span></td><td class='num' data-sort='18.1'>18.1</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3225.7'>3,225.7</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1228.0'>1228<span class='sub'>+52 / β50</span></td><td class='num' data-sort='23.4'>23.4</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+50 / β53</span></td><td class='num' data-sort='21.0'>21.0</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1665.2'>1,665.2</td><td class='num' data-sort='45.1'>45.1</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+49 / β50</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='247.1'>247.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1078.0'>1078<span class='sub'>+71 / β78</span></td><td class='num' data-sort='-16.6'>-16.6</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+47 / β58</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1370.0,1323.0,1417.0,30.7,0.653,0.741,0.2,0.0
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| 37 |
2,CART,Non-search,Tree,1316.0,1274.0,1363.0,28.2,0.456,0.638,0.1,0.0
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3,ElasticNet,Non-search,Regularization,1310.0,1260.0,1362.0,26.0,0.519,0.873,6.6,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1370.0'>1370<span class='sub'>+47 / β47</span></td><td class='num' data-sort='30.7'>30.7</td><td class='num shaded' data-sort='0.653' style='background:rgba(0,114,178,0.52)'>0.653</td><td class='num shaded' data-sort='0.741' style='background:rgba(213,94,0,0.58)'>0.741</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1316.0'>1316<span class='sub'>+47 / β42</span></td><td class='num' data-sort='28.2'>28.2</td><td class='num shaded' data-sort='0.456' style='background:rgba(0,114,178,0.39)'>0.456</td><td class='num shaded' data-sort='0.638' style='background:rgba(213,94,0,0.51)'>0.638</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1310.0'>1310<span class='sub'>+52 / β50</span></td><td class='num' data-sort='26.0'>26.0</td><td class='num shaded' data-sort='0.519' style='background:rgba(0,114,178,0.43)'>0.519</td><td class='num shaded' data-sort='0.873' style='background:rgba(213,94,0,0.66)'>0.873</td><td class='num' data-sort='6.6'>6.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1296.0'>1296<span class='sub'>+49 / β51</span></td><td class='num' data-sort='25.9'>25.9</td><td class='num shaded' data-sort='0.422' style='background:rgba(0,114,178,0.36)'>0.422</td><td class='num shaded' data-sort='0.825' style='background:rgba(213,94,0,0.63)'>0.825</td><td class='num' data-sort='1.9'>1.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1293.0'>1293<span class='sub'>+40 / β37</span></td><td class='num' data-sort='28.5'>28.5</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.863' style='background:rgba(213,94,0,0.66)'>0.863</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1290.0'>1290<span class='sub'>+47 / β40</span></td><td class='num' data-sort='26.3'>26.3</td><td class='num shaded' data-sort='0.396' style='background:rgba(0,114,178,0.35)'>0.396</td><td class='num shaded' data-sort='0.467' style='background:rgba(213,94,0,0.39)'>0.467</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1272.0'>1272<span class='sub'>+45 / β45</span></td><td class='num' data-sort='26.7'>26.7</td><td class='num shaded' data-sort='0.734' style='background:rgba(0,114,178,0.57)'>0.734</td><td class='num shaded' data-sort='0.932' style='background:rgba(213,94,0,0.70)'>0.932</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1266.0'>1266<span class='sub'>+50 / β47</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.681' style='background:rgba(0,114,178,0.54)'>0.681</td><td class='num shaded' data-sort='0.915' style='background:rgba(213,94,0,0.69)'>0.915</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1254.0'>1254<span class='sub'>+45 / β43</span></td><td class='num' data-sort='24.1'>24.1</td><td class='num shaded' data-sort='0.647' style='background:rgba(0,114,178,0.51)'>0.647</td><td class='num shaded' data-sort='0.808' style='background:rgba(213,94,0,0.62)'>0.808</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1243.0'>1243<span class='sub'>+57 / β55</span></td><td class='num' data-sort='18.1'>18.1</td><td class='num shaded' data-sort='0.175' style='background:rgba(0,114,178,0.20)'>0.175</td><td class='num shaded' data-sort='0.578' style='background:rgba(213,94,0,0.47)'>0.578</td><td class='num' data-sort='3225.7'>3,225.7</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1228.0'>1228<span class='sub'>+52 / β50</span></td><td class='num' data-sort='23.4'>23.4</td><td class='num shaded' data-sort='0.578' style='background:rgba(0,114,178,0.47)'>0.578</td><td class='num shaded' data-sort='0.712' style='background:rgba(213,94,0,0.56)'>0.712</td><td class='num' data-sort='0.3'>0.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1224.0'>1224<span class='sub'>+50 / β53</span></td><td class='num' data-sort='21.0'>21.0</td><td class='num shaded' data-sort='0.278' style='background:rgba(0,114,178,0.27)'>0.278</td><td class='num shaded' data-sort='0.664' style='background:rgba(213,94,0,0.52)'>0.664</td><td class='num' data-sort='1665.2'>1,665.2</td><td class='num' data-sort='45.1'>45.1</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+49 / β50</span></td><td class='num' data-sort='16.2'>16.2</td><td class='num shaded' data-sort='0.22' style='background:rgba(0,114,178,0.23)'>0.220</td><td class='num shaded' data-sort='0.613' style='background:rgba(213,94,0,0.49)'>0.613</td><td class='num' data-sort='247.1'>247.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1078.0'>1078<span class='sub'>+71 / β78</span></td><td class='num' data-sort='-16.6'>-16.6</td><td class='num shaded' data-sort='0.644' style='background:rgba(0,114,178,0.51)'>0.644</td><td class='num shaded' data-sort='0.85' style='background:rgba(213,94,0,0.65)'>0.850</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+47 / β58</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.001' style='background:rgba(0,114,178,0.08)'>0.001</td><td class='num shaded' data-sort='0.499' style='background:rgba(213,94,0,0.41)'>0.499</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1370.0,1323.0,1417.0,30.7,0.653,0.741,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1316.0,1274.0,1363.0,28.2,0.456,0.638,0.1,0.0
|
| 40 |
3,ElasticNet,Non-search,Regularization,1310.0,1260.0,1362.0,26.0,0.519,0.873,6.6,0.0
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text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><text class='sa-text sa-halo' x='473.5' y='43.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><line class='sa-ink' x1='341.6' y1='73.4' x2='369.3' y2='58.5' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='369.3' y='58.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='489.3' y1='77.7' x2='367.8' y2='87.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='367.8' y='87.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='693.6' y1='80.5' x2='784.1' y2='76.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='784.1' y='76.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='691.2' y1='81.7' 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font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='520.0' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 30.7% Selection time per 1k features: 38.3 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 30.7% Selection time per 1k features: 38.3 s Datasets: 71'/><circle class='sa-hit' cx='528.2' cy='54.8' r='10.5' data-tip='MI Improvement over Random: 28.5% Selection time per 1k features: 46.2 s Datasets: 71' aria-label='MI Improvement over Random: 28.5% Selection time per 1k features: 46.2 s Datasets: 71'/><circle class='sa-hit' cx='477.3' cy='57.9' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 28.2% Selection time per 1k features: 14.3 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 28.2% 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cx='691.2' cy='81.7' r='10.5' data-tip='Lasso Improvement over Random: 25.9% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 26.0%, 2.1e+03 s' aria-label='Lasso Improvement over Random: 25.9% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 26.0%, 2.1e+03 s'/><circle class='sa-hit' cx='473.3' cy='100.4' r='10.5' data-tip='GainRatio Improvement over Random: 24.1% Selection time per 1k features: 13 s Datasets: 71' aria-label='GainRatio Improvement over Random: 24.1% Selection time per 1k features: 13 s Datasets: 71'/><circle class='sa-hit' cx='799.0' cy='100.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 24.1% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 24.1% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='495.0' cy='108.4' r='10.5' data-tip='mRMR Improvement over Random: 23.4% Selection time per 1k features: 21.5 s Datasets: 71' aria-label='mRMR Improvement over Random: 23.4% Selection time per 1k features: 21.5 s Datasets: 71'/><circle class='sa-hit' cx='801.5' cy='132.6' r='10.5' data-tip='SFS Improvement over Random: 21.0% Selection time per 1k features: 2.54e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 21.0% Selection time per 1k features: 2.54e+04 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='163.4' r='10.5' data-tip='SBE Improvement over Random: 18.1% Selection time per 1k features: 3.25e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 18.1% Selection time per 1k features: 3.25e+04 s Datasets: 71'/><circle class='sa-hit' cx='741.2' cy='182.7' r='10.5' data-tip='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.31e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.31e+03 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,30.67,38.2716,71,True
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MI,28.4977,46.173,71,False
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CART,28.2072,14.2793,71,True
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y1='143.5' y2='143.5'/><text class='sa-text' x='58.0' y='149.5' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='67.0' x2='847.8' y1='91.3' y2='91.3'/><text class='sa-text' x='58.0' y='97.3' text-anchor='end' font-size='15'>25</text><line class='sa-grid' x1='67.0' x2='847.8' y1='39.2' y2='39.2'/><text class='sa-text' x='58.0' y='45.2' text-anchor='end' font-size='15'>30</text><rect class='sa-frame-line' x='67.0' y='16.2' width='780.8' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.6' y1='51.9' x2='69.0' 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text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><text class='sa-text sa-halo' x='473.5' y='43.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><line class='sa-ink' x1='341.6' y1='73.4' x2='364.3' y2='52.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='364.3' y='52.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='489.3' y1='77.7' x2='372.8' y2='92.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='372.8' y='92.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='693.6' y1='80.5' x2='786.0' y2='76.4' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='786.0' y='76.4' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='691.2' y1='81.7' x2='659.5' y2='66.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='659.5' y='66.3' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='473.3' y1='100.4' x2='450.7' y2='122.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='450.7' y='122.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='799.0' y1='100.8' x2='735.2' y2='114.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='735.2' y='114.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='495.0' y1='108.4' x2='550.4' y2='93.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='550.4' y='93.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='801.5' y1='132.6' x2='773.2' y2='144.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='773.2' y='144.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><text class='sa-dim sa-halo' x='827.3' y='177.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='741.2' y1='182.7' x2='707.2' y2='197.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='707.2' y='197.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='102.5' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='520.0' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 30.7% Selection time per 1k features: 38.3 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 30.7% Selection time per 1k features: 38.3 s Datasets: 71'/><circle class='sa-hit' cx='528.2' cy='54.8' r='10.5' data-tip='MI Improvement over Random: 28.5% Selection time per 1k features: 46.2 s Datasets: 71' aria-label='MI Improvement over Random: 28.5% Selection time per 1k features: 46.2 s Datasets: 71'/><circle class='sa-hit' cx='477.3' cy='57.9' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 28.2% Selection time per 1k features: 14.3 s Datasets: 71' aria-label='CART (on the Pareto front) Improvement over Random: 28.2% Selection time per 1k features: 14.3 s Datasets: 71'/><circle class='sa-hit' cx='341.6' cy='73.4' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 26.7% Selection time per 1k features: 0.623 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 26.7% Selection time per 1k features: 0.623 s Datasets: 71'/><circle class='sa-hit' cx='489.3' cy='77.7' r='10.5' data-tip='MarkovBlanket Improvement over Random: 26.3% Selection time per 1k features: 18.8 s Datasets: 71' aria-label='MarkovBlanket Improvement over Random: 26.3% Selection time per 1k features: 18.8 s Datasets: 71'/><circle class='sa-hit' cx='693.6' cy='80.5' r='10.5' data-tip='ElasticNet Improvement over Random: 26.0% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 25.9%, 1.99e+03 s' aria-label='ElasticNet Improvement over Random: 26.0% Selection time per 1k features: 2.1e+03 s Datasets: 71 Next to Lasso: 25.9%, 1.99e+03 s'/><circle class='sa-hit' cx='691.2' cy='81.7' r='10.5' data-tip='Lasso Improvement over Random: 25.9% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 26.0%, 2.1e+03 s' aria-label='Lasso Improvement over Random: 25.9% Selection time per 1k features: 1.99e+03 s Datasets: 71 Next to ElasticNet: 26.0%, 2.1e+03 s'/><circle class='sa-hit' cx='473.3' cy='100.4' r='10.5' data-tip='GainRatio Improvement over Random: 24.1% Selection time per 1k features: 13 s Datasets: 71' aria-label='GainRatio Improvement over Random: 24.1% Selection time per 1k features: 13 s Datasets: 71'/><circle class='sa-hit' cx='799.0' cy='100.8' r='10.5' data-tip='(R)ReliefF Improvement over Random: 24.1% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 24.1% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='495.0' cy='108.4' r='10.5' data-tip='mRMR Improvement over Random: 23.4% Selection time per 1k features: 21.5 s Datasets: 71' aria-label='mRMR Improvement over Random: 23.4% Selection time per 1k features: 21.5 s Datasets: 71'/><circle class='sa-hit' cx='801.5' cy='132.6' r='10.5' data-tip='SFS Improvement over Random: 21.0% Selection time per 1k features: 2.54e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 21.0% Selection time per 1k features: 2.54e+04 s Datasets: 71'/><circle class='sa-hit' cx='812.3' cy='163.4' r='10.5' data-tip='SBE Improvement over Random: 18.1% Selection time per 1k features: 3.25e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 18.1% Selection time per 1k features: 3.25e+04 s Datasets: 71'/><circle class='sa-hit' cx='741.2' cy='182.7' r='10.5' data-tip='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.31e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 16.2% Selection time per 1k features: 6.31e+03 s Datasets: 71'/><circle class='sa-hit' cx='102.5' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0025 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
|
| 36 |
RFImportance,30.67,38.2716,71,True
|
| 37 |
MI,28.4977,46.173,71,False
|
| 38 |
CART,28.2072,14.2793,71,True
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data/subsets/tasks_all/models_randomforest/budgets_2/leaderboard_table.html
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1377.0'>1377<span class='sub'>+50 / β45</span></td><td class='num' data-sort='26.7'>26.7</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1302.0'>1302<span class='sub'>+46 / β43</span></td><td class='num' data-sort='20.2'>20.2</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1283.0'>1283<span class='sub'>+51 / β46</span></td><td class='num' data-sort='21.8'>21.8</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+52 / β50</span></td><td class='num' data-sort='20.0'>20.0</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+45 / β44</span></td><td class='num' data-sort='19.9'>19.9</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1239.0'>1239<span class='sub'>+47 / β49</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1236.0'>1236<span class='sub'>+43 / β46</span></td><td class='num' data-sort='18.2'>18.2</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1235.0'>1235<span class='sub'>+53 / β45</span></td><td class='num' data-sort='19.3'>19.3</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1204.0'>1204<span class='sub'>+56 / β56</span></td><td class='num' data-sort='10.2'>10.2</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2621.7'>2,621.7</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1190.0'>1190<span class='sub'>+45 / β44</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1179.0'>1179<span class='sub'>+51 / β49</span></td><td class='num' data-sort='16.5'>16.5</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1164.0'>1164<span class='sub'>+45 / β52</span></td><td class='num' data-sort='10.1'>10.1</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2242.0'>2,242.0</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1152.0'>1152<span class='sub'>+48 / β48</span></td><td class='num' data-sort='7.9'>7.9</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='239.1'>239.1</td><td class='num' data-sort='6.6'>6.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β72</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='951.0'>951<span class='sub'>+64 / β77</span></td><td class='num' data-sort='-54.7'>-54.7</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 36 |
1,RFImportance,Non-search,Tree,1377.0,1332.0,1427.0,26.7,0.676,0.691,0.2,0.0
|
| 37 |
2,CART,Non-search,Tree,1302.0,1259.0,1348.0,20.2,0.444,0.572,0.0,0.0
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| 38 |
3,MI,Non-search,Information theory,1283.0,1237.0,1334.0,21.8,0.683,0.815,0.4,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1377.0'>1377<span class='sub'>+50 / β45</span></td><td class='num' data-sort='26.7'>26.7</td><td class='num shaded' data-sort='0.676' style='background:rgba(0,114,178,0.53)'>0.676</td><td class='num shaded' data-sort='0.691' style='background:rgba(213,94,0,0.54)'>0.691</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1302.0'>1302<span class='sub'>+46 / β43</span></td><td class='num' data-sort='20.2'>20.2</td><td class='num shaded' data-sort='0.444' style='background:rgba(0,114,178,0.38)'>0.444</td><td class='num shaded' data-sort='0.572' style='background:rgba(213,94,0,0.46)'>0.572</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1283.0'>1283<span class='sub'>+51 / β46</span></td><td class='num' data-sort='21.8'>21.8</td><td class='num shaded' data-sort='0.683' style='background:rgba(0,114,178,0.54)'>0.683</td><td class='num shaded' data-sort='0.815' style='background:rgba(213,94,0,0.63)'>0.815</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1259.0'>1259<span class='sub'>+52 / β50</span></td><td class='num' data-sort='20.0'>20.0</td><td class='num shaded' data-sort='0.481' style='background:rgba(0,114,178,0.40)'>0.481</td><td class='num shaded' data-sort='0.777' style='background:rgba(213,94,0,0.60)'>0.777</td><td class='num' data-sort='6.3'>6.3</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1252.0'>1252<span class='sub'>+45 / β44</span></td><td class='num' data-sort='19.9'>19.9</td><td class='num shaded' data-sort='0.413' style='background:rgba(0,114,178,0.36)'>0.413</td><td class='num shaded' data-sort='0.447' style='background:rgba(213,94,0,0.38)'>0.447</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1239.0'>1239<span class='sub'>+47 / β49</span></td><td class='num' data-sort='19.0'>19.0</td><td class='num shaded' data-sort='0.706' style='background:rgba(0,114,178,0.55)'>0.706</td><td class='num shaded' data-sort='0.879' style='background:rgba(213,94,0,0.67)'>0.879</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1236.0'>1236<span class='sub'>+43 / β46</span></td><td class='num' data-sort='18.2'>18.2</td><td class='num shaded' data-sort='0.389' style='background:rgba(0,114,178,0.34)'>0.389</td><td class='num shaded' data-sort='0.73' style='background:rgba(213,94,0,0.57)'>0.730</td><td class='num' data-sort='2.0'>2.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1235.0'>1235<span class='sub'>+53 / β45</span></td><td class='num' data-sort='19.3'>19.3</td><td class='num shaded' data-sort='0.673' style='background:rgba(0,114,178,0.53)'>0.673</td><td class='num shaded' data-sort='0.757' style='background:rgba(213,94,0,0.59)'>0.757</td><td class='num' data-sort='13.0'>13.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1204.0'>1204<span class='sub'>+56 / β56</span></td><td class='num' data-sort='10.2'>10.2</td><td class='num shaded' data-sort='0.144' style='background:rgba(0,114,178,0.18)'>0.144</td><td class='num shaded' data-sort='0.556' style='background:rgba(213,94,0,0.45)'>0.556</td><td class='num' data-sort='2621.7'>2,621.7</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1190.0'>1190<span class='sub'>+45 / β44</span></td><td class='num' data-sort='15.3'>15.3</td><td class='num shaded' data-sort='0.67' style='background:rgba(0,114,178,0.53)'>0.670</td><td class='num shaded' data-sort='0.856' style='background:rgba(213,94,0,0.65)'>0.856</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1179.0'>1179<span class='sub'>+51 / β49</span></td><td class='num' data-sort='16.5'>16.5</td><td class='num shaded' data-sort='0.614' style='background:rgba(0,114,178,0.49)'>0.614</td><td class='num shaded' data-sort='0.66' style='background:rgba(213,94,0,0.52)'>0.660</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1164.0'>1164<span class='sub'>+45 / β52</span></td><td class='num' data-sort='10.1'>10.1</td><td class='num shaded' data-sort='0.239' style='background:rgba(0,114,178,0.24)'>0.239</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='2242.0'>2,242.0</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1152.0'>1152<span class='sub'>+48 / β48</span></td><td class='num' data-sort='7.9'>7.9</td><td class='num shaded' data-sort='0.151' style='background:rgba(0,114,178,0.18)'>0.151</td><td class='num shaded' data-sort='0.575' style='background:rgba(213,94,0,0.47)'>0.575</td><td class='num' data-sort='239.1'>239.1</td><td class='num' data-sort='6.6'>6.6</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+54 / β72</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='-0.001' style='background:rgba(0,114,178,0.08)'>-0.001</td><td class='num shaded' data-sort='0.513' style='background:rgba(213,94,0,0.42)'>0.513</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='951.0'>951<span class='sub'>+64 / β77</span></td><td class='num' data-sort='-54.7'>-54.7</td><td class='num shaded' data-sort='0.66' style='background:rgba(0,114,178,0.52)'>0.660</td><td class='num shaded' data-sort='0.827' style='background:rgba(213,94,0,0.63)'>0.827</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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| 38 |
1,RFImportance,Non-search,Tree,1377.0,1332.0,1427.0,26.7,0.676,0.691,0.2,0.0
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| 39 |
2,CART,Non-search,Tree,1302.0,1259.0,1348.0,20.2,0.444,0.572,0.0,0.0
|
| 40 |
3,MI,Non-search,Information theory,1283.0,1237.0,1334.0,21.8,0.683,0.815,0.4,0.0
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dominant-baseline='central' font-size='18' font-weight='400'>MI</text><line class='sa-ink' x1='479.3' y1='109.7' x2='515.2' y2='99.5' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='515.2' y='99.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><line class='sa-ink' x1='695.6' y1='112.5' x2='754.3' y2='96.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='754.3' y='96.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='490.1' y1='113.1' x2='551.2' y2='128.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='551.2' y='128.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MarkovBlanket</text><line class='sa-ink' x1='801.9' y1='120.0' x2='755.4' y2='126.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='755.4' y='126.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='349.9' y1='124.6' x2='310.2' y2='138.9' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='310.2' y='138.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><line class='sa-ink' x1='694.6' y1='134.0' x2='730.3' y2='156.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='730.3' y='156.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='514.7' y1='154.4' x2='568.8' y2='157.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='568.8' y='157.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>mRMR</text><line class='sa-ink' x1='472.8' y1='168.4' x2='467.2' y2='197.5' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='467.2' y='197.5' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='811.6' y1='229.8' x2='827.3' y2='185.8' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='827.3' y='185.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='812.3' y1='231.0' x2='828.6' y2='215.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='215.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='744.4' y1='257.2' x2='711.6' y2='270.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='711.6' y='270.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='521.5' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 26.7% Selection time per 1k features: 38.6 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 26.7% Selection time per 1k features: 38.6 s Datasets: 71'/><circle class='sa-hit' cx='529.2' cy='90.8' r='10.5' data-tip='MI Improvement over Random: 21.8% Selection time per 1k features: 46 s Datasets: 71' aria-label='MI Improvement over Random: 21.8% Selection time per 1k features: 46 s Datasets: 71'/><circle class='sa-hit' cx='479.3' cy='109.7' r='10.5' data-tip='CART (on the Pareto front) Improvement over Random: 20.2% Selection time per 1k features: 14.7 s Datasets: 71 Next to MarkovBlanket: 19.9%, 18.8 s' aria-label='CART (on the Pareto front) Improvement over Random: 20.2% Selection time per 1k features: 14.7 s Datasets: 71 Next to MarkovBlanket: 19.9%, 18.8 s'/><circle class='sa-hit' cx='695.6' cy='112.5' r='10.5' data-tip='ElasticNet Improvement over Random: 20.0% Selection time per 1k features: 2.08e+03 s Datasets: 71' aria-label='ElasticNet Improvement over Random: 20.0% Selection time per 1k features: 2.08e+03 s Datasets: 71'/><circle class='sa-hit' cx='490.1' cy='113.1' r='10.5' data-tip='MarkovBlanket Improvement over Random: 19.9% Selection time per 1k features: 18.8 s Datasets: 71 Next to CART: 20.2%, 14.7 s' aria-label='MarkovBlanket Improvement over Random: 19.9% Selection time per 1k features: 18.8 s Datasets: 71 Next to CART: 20.2%, 14.7 s'/><circle class='sa-hit' cx='801.9' cy='120.0' r='10.5' data-tip='(R)ReliefF 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33 s Datasets: 71'/><circle class='sa-hit' cx='472.8' cy='168.4' r='10.5' data-tip='GainRatio Improvement over Random: 15.3% Selection time per 1k features: 12.6 s Datasets: 71' aria-label='GainRatio Improvement over Random: 15.3% Selection time per 1k features: 12.6 s Datasets: 71'/><circle class='sa-hit' cx='811.6' cy='229.8' r='10.5' data-tip='SBE Improvement over Random: 10.2% Selection time per 1k features: 2.98e+04 s Datasets: 71 Next to SFS: 10.1%, 3.03e+04 s' aria-label='SBE Improvement over Random: 10.2% Selection time per 1k features: 2.98e+04 s Datasets: 71 Next to SFS: 10.1%, 3.03e+04 s'/><circle class='sa-hit' cx='812.3' cy='231.0' r='10.5' data-tip='SFS Improvement over Random: 10.1% Selection time per 1k features: 3.03e+04 s Datasets: 71 Next to SBE: 10.2%, 2.98e+04 s' aria-label='SFS Improvement over Random: 10.1% Selection time per 1k features: 3.03e+04 s Datasets: 71 Next to SBE: 10.2%, 2.98e+04 s'/><circle class='sa-hit' cx='744.4' cy='257.2' r='10.5' data-tip='LOCO Improvement over Random: 7.9% Selection time per 1k features: 6.38e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 7.9% Selection time per 1k features: 6.38e+03 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,26.6641,38.5521,71,True
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MI,21.7783,46.0456,71,False
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CART,20.1998,14.6774,71,True
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x1='663.5' x2='663.5' y1='16.2' y2='368.0'/><text class='sa-text' x='663.5' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='764.0' x2='764.0' y1='16.2' y2='368.0'/><text class='sa-text' x='764.0' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='66.9' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='57.9' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='66.9' x2='847.8' y1='292.1' y2='292.1'/><text class='sa-text' x='57.9' y='298.1' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='66.9' x2='847.8' y1='232.1' y2='232.1'/><text class='sa-text' x='57.9' y='238.1' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='66.9' x2='847.8' y1='172.1' y2='172.1'/><text class='sa-text' x='57.9' y='178.1' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='66.9' x2='847.8' y1='112.1' y2='112.1'/><text class='sa-text' x='57.9' y='118.1' text-anchor='end' font-size='15'>20</text><line class='sa-grid' x1='66.9' x2='847.8' y1='52.2' y2='52.2'/><text class='sa-text' x='57.9' y='58.2' text-anchor='end' font-size='15'>25</text><rect class='sa-frame-line' x='66.9' y='16.2' width='780.9' height='351.8'/><text class='sa-text' x='457.4' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='109.5' y1='51.9' x2='68.9' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='82.5' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='102.4,352.0 349.9,124.6 479.3,109.7 521.5,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='521.5' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='529.2' cy='90.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='479.3' cy='109.7' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='695.6' cy='112.5' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='490.1' cy='113.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='801.9' cy='120.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='349.9' cy='124.6' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='694.6' cy='134.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='514.7' cy='154.4' r='5.8' fill='#d3d3d3' 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font-weight='400'>GainRatio</text><line class='sa-ink' x1='811.6' y1='229.8' x2='827.3' y2='186.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='827.3' y='186.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SBE</text><line class='sa-ink' x1='812.3' y1='231.0' x2='828.6' y2='215.6' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='828.6' y='215.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>SFS</text><line class='sa-ink' x1='744.4' y1='257.2' x2='711.6' y2='270.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='711.6' y='270.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>LOCO</text><line class='sa-ink' x1='102.4' y1='352.0' x2='156.2' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='156.2' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect 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data-tip='CART (on the Pareto front) Improvement over Random: 20.2% Selection time per 1k features: 14.7 s Datasets: 71 Next to MarkovBlanket: 19.9%, 18.8 s' aria-label='CART (on the Pareto front) Improvement over Random: 20.2% Selection time per 1k features: 14.7 s Datasets: 71 Next to MarkovBlanket: 19.9%, 18.8 s'/><circle class='sa-hit' cx='695.6' cy='112.5' r='10.5' data-tip='ElasticNet Improvement over Random: 20.0% Selection time per 1k features: 2.08e+03 s Datasets: 71' aria-label='ElasticNet Improvement over Random: 20.0% Selection time per 1k features: 2.08e+03 s Datasets: 71'/><circle class='sa-hit' cx='490.1' cy='113.1' r='10.5' data-tip='MarkovBlanket Improvement over Random: 19.9% Selection time per 1k features: 18.8 s Datasets: 71 Next to CART: 20.2%, 14.7 s' aria-label='MarkovBlanket Improvement over Random: 19.9% Selection time per 1k features: 18.8 s Datasets: 71 Next to CART: 20.2%, 14.7 s'/><circle class='sa-hit' cx='801.9' cy='120.0' r='10.5' data-tip='(R)ReliefF Improvement over Random: 19.3% Selection time per 1k features: 2.39e+04 s Datasets: 71' aria-label='(R)ReliefF Improvement over Random: 19.3% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='349.9' cy='124.6' r='10.5' data-tip='F-Test (on the Pareto front) Improvement over Random: 19.0% Selection time per 1k features: 0.756 s Datasets: 71' aria-label='F-Test (on the Pareto front) Improvement over Random: 19.0% Selection time per 1k features: 0.756 s Datasets: 71'/><circle class='sa-hit' cx='694.6' cy='134.0' r='10.5' data-tip='Lasso Improvement over Random: 18.2% Selection time per 1k features: 2.04e+03 s Datasets: 71' aria-label='Lasso Improvement over Random: 18.2% Selection time per 1k features: 2.04e+03 s Datasets: 71'/><circle class='sa-hit' cx='514.7' cy='154.4' r='10.5' data-tip='mRMR Improvement over Random: 16.5% Selection time per 1k features: 33 s Datasets: 71' aria-label='mRMR Improvement over Random: 16.5% Selection time per 1k features: 33 s Datasets: 71'/><circle class='sa-hit' cx='472.8' cy='168.4' r='10.5' data-tip='GainRatio Improvement over Random: 15.3% Selection time per 1k features: 12.6 s Datasets: 71' aria-label='GainRatio Improvement over Random: 15.3% Selection time per 1k features: 12.6 s Datasets: 71'/><circle class='sa-hit' cx='811.6' cy='229.8' r='10.5' data-tip='SBE Improvement over Random: 10.2% Selection time per 1k features: 2.98e+04 s Datasets: 71 Next to SFS: 10.1%, 3.03e+04 s' aria-label='SBE Improvement over Random: 10.2% Selection time per 1k features: 2.98e+04 s Datasets: 71 Next to SFS: 10.1%, 3.03e+04 s'/><circle class='sa-hit' cx='812.3' cy='231.0' r='10.5' data-tip='SFS Improvement over Random: 10.1% Selection time per 1k features: 3.03e+04 s Datasets: 71 Next to SBE: 10.2%, 2.98e+04 s' aria-label='SFS Improvement over Random: 10.1% Selection time per 1k features: 3.03e+04 s Datasets: 71 Next to SBE: 10.2%, 2.98e+04 s'/><circle class='sa-hit' cx='744.4' cy='257.2' r='10.5' data-tip='LOCO Improvement over Random: 7.9% Selection time per 1k features: 6.38e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 7.9% Selection time per 1k features: 6.38e+03 s Datasets: 71'/><circle class='sa-hit' cx='102.4' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0026 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,26.6641,38.5521,71,True
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| 37 |
MI,21.7783,46.0456,71,False
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CART,20.1998,14.6774,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1320.0'>1320<span class='sub'>+53 / β50</span></td><td class='num' data-sort='19.7'>19.7</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1275.0'>1275<span class='sub'>+54 / β43</span></td><td class='num' data-sort='15.2'>15.2</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1229.0'>1229<span class='sub'>+51 / β54</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1222.0'>1222<span class='sub'>+47 / β41</span></td><td class='num' data-sort='15.5'>15.5</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1206.0'>1206<span class='sub'>+51 / β44</span></td><td class='num' data-sort='14.0'>14.0</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+48 / β48</span></td><td class='num' data-sort='12.9'>12.9</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1188.0'>1188<span class='sub'>+38 / β42</span></td><td class='num' data-sort='12.7'>12.7</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+45 / β45</span></td><td class='num' data-sort='14.8'>14.8</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1180.0'>1180<span class='sub'>+49 / β48</span></td><td class='num' data-sort='11.9'>11.9</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+54 / β59</span></td><td class='num' data-sort='7.1'>7.1</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1890.2'>1,890.2</td><td class='num' data-sort='45.5'>45.5</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1147.0'>1147<span class='sub'>+46 / β44</span></td><td class='num' data-sort='12.8'>12.8</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1110.0'>1110<span class='sub'>+49 / β49</span></td><td class='num' data-sort='4.1'>4.1</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='252.4'>252.4</td><td class='num' data-sort='11.7'>11.7</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1105.0'>1105<span class='sub'>+44 / β43</span></td><td class='num' data-sort='1.4'>1.4</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2829.3'>2,829.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+48 / β57</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='943.0'>943<span class='sub'>+66 / β80</span></td><td class='num' data-sort='-86.6'>-86.6</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 36 |
1,RFImportance,Non-search,Tree,1320.0,1270.0,1373.0,19.7,0.661,0.6,0.2,0.0
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2,CART,Non-search,Tree,1275.0,1232.0,1329.0,15.2,0.402,0.507,0.1,0.0
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| 38 |
3,ElasticNet,Non-search,Regularization,1229.0,1175.0,1280.0,13.7,0.419,0.665,6.1,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1320.0'>1320<span class='sub'>+53 / β50</span></td><td class='num' data-sort='19.7'>19.7</td><td class='num shaded' data-sort='0.661' style='background:rgba(0,114,178,0.52)'>0.661</td><td class='num shaded' data-sort='0.6' style='background:rgba(213,94,0,0.48)'>0.600</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1275.0'>1275<span class='sub'>+54 / β43</span></td><td class='num' data-sort='15.2'>15.2</td><td class='num shaded' data-sort='0.402' style='background:rgba(0,114,178,0.35)'>0.402</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1229.0'>1229<span class='sub'>+51 / β54</span></td><td class='num' data-sort='13.7'>13.7</td><td class='num shaded' data-sort='0.419' style='background:rgba(0,114,178,0.36)'>0.419</td><td class='num shaded' data-sort='0.665' style='background:rgba(213,94,0,0.53)'>0.665</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1222.0'>1222<span class='sub'>+47 / β41</span></td><td class='num' data-sort='15.5'>15.5</td><td class='num shaded' data-sort='0.649' style='background:rgba(0,114,178,0.51)'>0.649</td><td class='num shaded' data-sort='0.723' style='background:rgba(213,94,0,0.56)'>0.723</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1206.0'>1206<span class='sub'>+51 / β44</span></td><td class='num' data-sort='14.0'>14.0</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.667' style='background:rgba(213,94,0,0.53)'>0.667</td><td class='num' data-sort='12.9'>12.9</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+48 / β48</span></td><td class='num' data-sort='12.9'>12.9</td><td class='num shaded' data-sort='0.334' style='background:rgba(0,114,178,0.30)'>0.334</td><td class='num shaded' data-sort='0.643' style='background:rgba(213,94,0,0.51)'>0.643</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1188.0'>1188<span class='sub'>+38 / β42</span></td><td class='num' data-sort='12.7'>12.7</td><td class='num shaded' data-sort='0.434' style='background:rgba(0,114,178,0.37)'>0.434</td><td class='num shaded' data-sort='0.473' style='background:rgba(213,94,0,0.40)'>0.473</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1183.0'>1183<span class='sub'>+45 / β45</span></td><td class='num' data-sort='14.8'>14.8</td><td class='num shaded' data-sort='0.668' style='background:rgba(0,114,178,0.53)'>0.668</td><td class='num shaded' data-sort='0.781' style='background:rgba(213,94,0,0.60)'>0.781</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1180.0'>1180<span class='sub'>+49 / β48</span></td><td class='num' data-sort='11.9'>11.9</td><td class='num shaded' data-sort='0.656' style='background:rgba(0,114,178,0.52)'>0.656</td><td class='num shaded' data-sort='0.593' style='background:rgba(213,94,0,0.48)'>0.593</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='7.0'>7.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+54 / β59</span></td><td class='num' data-sort='7.1'>7.1</td><td class='num shaded' data-sort='0.095' style='background:rgba(0,114,178,0.14)'>0.095</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='1890.2'>1,890.2</td><td class='num' data-sort='45.5'>45.5</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1147.0'>1147<span class='sub'>+46 / β44</span></td><td class='num' data-sort='12.8'>12.8</td><td class='num shaded' data-sort='0.641' style='background:rgba(0,114,178,0.51)'>0.641</td><td class='num shaded' data-sort='0.751' style='background:rgba(213,94,0,0.58)'>0.751</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1110.0'>1110<span class='sub'>+49 / β49</span></td><td class='num' data-sort='4.1'>4.1</td><td class='num shaded' data-sort='0.114' style='background:rgba(0,114,178,0.16)'>0.114</td><td class='num shaded' data-sort='0.544' style='background:rgba(213,94,0,0.44)'>0.544</td><td class='num' data-sort='252.4'>252.4</td><td class='num' data-sort='11.7'>11.7</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1105.0'>1105<span class='sub'>+44 / β43</span></td><td class='num' data-sort='1.4'>1.4</td><td class='num shaded' data-sort='0.225' style='background:rgba(0,114,178,0.23)'>0.225</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='2829.3'>2,829.3</td><td class='num' data-sort='48.4'>48.4</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+48 / β57</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.494' style='background:rgba(213,94,0,0.41)'>0.494</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='943.0'>943<span class='sub'>+66 / β80</span></td><td class='num' data-sort='-86.6'>-86.6</td><td class='num shaded' data-sort='0.689' style='background:rgba(0,114,178,0.54)'>0.689</td><td class='num shaded' data-sort='0.758' style='background:rgba(213,94,0,0.59)'>0.758</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
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1,RFImportance,Non-search,Tree,1320.0,1270.0,1373.0,19.7,0.661,0.6,0.2,0.0
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| 40 |
3,ElasticNet,Non-search,Regularization,1229.0,1175.0,1280.0,13.7,0.419,0.665,6.1,0.0
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font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='694.9' y1='129.1' x2='637.9' y2='114.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='637.9' y='114.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='692.8' y1='143.1' x2='649.9' y2='151.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='649.9' y='151.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='476.7' y1='144.3' x2='370.1' y2='158.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='370.1' y='158.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='493.7' y1='146.1' x2='511.9' y2='191.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='511.9' y='191.1' text-anchor='middle' dominant-baseline='central' font-size='18' 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14.0% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='694.9' cy='129.1' r='10.5' data-tip='ElasticNet Improvement over Random: 13.7% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 12.9%, 2e+03 s' aria-label='ElasticNet Improvement over Random: 13.7% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 12.9%, 2e+03 s'/><circle class='sa-hit' cx='692.8' cy='143.1' r='10.5' data-tip='Lasso Improvement over Random: 12.9% Selection time per 1k features: 2e+03 s Datasets: 71 Next to ElasticNet: 13.7%, 2.11e+03 s' aria-label='Lasso Improvement over Random: 12.9% Selection time per 1k features: 2e+03 s Datasets: 71 Next to ElasticNet: 13.7%, 2.11e+03 s'/><circle class='sa-hit' cx='476.7' cy='144.3' r='10.5' data-tip='GainRatio Improvement over Random: 12.8% Selection time per 1k features: 12.6 s Datasets: 71 Next to MarkovBlanket: 12.7%, 18.9 s' aria-label='GainRatio Improvement over Random: 12.8% Selection time per 1k features: 12.6 s Datasets: 71 Next to MarkovBlanket: 12.7%, 18.9 s'/><circle class='sa-hit' cx='493.7' cy='146.1' r='10.5' data-tip='MarkovBlanket Improvement over Random: 12.7% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 12.8%, 12.6 s' aria-label='MarkovBlanket Improvement over Random: 12.7% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 12.8%, 12.6 s'/><circle class='sa-hit' cx='547.1' cy='158.4' r='10.5' data-tip='mRMR Improvement over Random: 11.9% Selection time per 1k features: 65.9 s Datasets: 71' aria-label='mRMR Improvement over Random: 11.9% Selection time per 1k features: 65.9 s Datasets: 71'/><circle class='sa-hit' cx='798.1' cy='236.8' r='10.5' data-tip='SBE Improvement over Random: 7.1% Selection time per 1k features: 2.37e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 7.1% Selection time per 1k features: 2.37e+04 s Datasets: 71'/><circle class='sa-hit' cx='742.0' cy='285.8' r='10.5' data-tip='LOCO Improvement over Random: 4.1% Selection time per 1k features: 6.36e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 4.1% Selection time per 1k features: 6.36e+03 s Datasets: 71'/><circle class='sa-hit' cx='813.0' cy='329.8' r='10.5' data-tip='SFS Improvement over Random: 1.4% Selection time per 1k features: 3.35e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 1.4% Selection time per 1k features: 3.35e+04 s Datasets: 71'/><circle class='sa-hit' cx='116.1' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,19.7026,39.3595,71,True
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MI,15.4689,45.5885,71,False
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CART,15.1945,14.5695,71,True
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x1='663.1' x2='663.1' y1='16.2' y2='368.0'/><text class='sa-text' x='663.1' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>3</tspan></text><line class='sa-grid' x1='761.3' x2='761.3' y1='16.2' y2='368.0'/><text class='sa-text' x='761.3' y='390.5' text-anchor='middle' font-size='15'>10<tspan dy='-7' font-size='10'>4</tspan></text><line class='sa-grid' x1='81.3' x2='847.8' y1='352.0' y2='352.0'/><text class='sa-text' x='72.3' y='358.0' text-anchor='end' font-size='15'>0</text><line class='sa-grid' x1='81.3' x2='847.8' y1='311.5' y2='311.5'/><text class='sa-text' x='72.3' y='317.5' text-anchor='end' font-size='15'>2.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='270.9' y2='270.9'/><text class='sa-text' x='72.3' y='276.9' text-anchor='end' font-size='15'>5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='230.3' y2='230.3'/><text class='sa-text' x='72.3' y='236.3' text-anchor='end' font-size='15'>7.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='189.7' y2='189.7'/><text class='sa-text' x='72.3' y='195.7' text-anchor='end' font-size='15'>10</text><line class='sa-grid' x1='81.3' x2='847.8' y1='149.1' y2='149.1'/><text class='sa-text' x='72.3' y='155.1' text-anchor='end' font-size='15'>12.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='108.5' y2='108.5'/><text class='sa-text' x='72.3' y='114.5' text-anchor='end' font-size='15'>15</text><line class='sa-grid' x1='81.3' x2='847.8' y1='67.9' y2='67.9'/><text class='sa-text' x='72.3' y='73.9' text-anchor='end' font-size='15'>17.5</text><line class='sa-grid' x1='81.3' x2='847.8' y1='27.4' y2='27.4'/><text class='sa-text' x='72.3' y='33.4' text-anchor='end' font-size='15'>20</text><rect class='sa-frame-line' x='81.3' y='16.2' width='766.5' height='351.8'/><text class='sa-text' x='464.5' y='420.0' text-anchor='middle' font-size='15'>Feature Selection Time (s) per 1k Features</text><text class='sa-text' transform='translate(21.0 192.1) rotate(-90)' text-anchor='middle' font-size='15'>Improvement over Random (%)</text><defs><marker id='sa-arrow' viewBox='0 0 10 10' refX='9' refY='5' markerWidth='7' markerHeight='7' orient='auto-start-reverse'><path d='M0,0 L10,5 L0,10' fill='none' stroke='#009E73' stroke-width='1.6'/></marker></defs><line x1='123.6' y1='51.9' x2='83.3' y2='18.2' stroke='#009E73' stroke-width='2.2' marker-end='url(#sa-arrow)'/><text x='96.6' y='75.9' fill='#009E73' font-size='18' font-weight='700'>optimal</text><polyline points='116.1,352.0 351.0,112.4 482.7,105.4 525.1,32.2' fill='none' stroke='#D55E00' stroke-width='3.0'/><circle class='sa-point' cx='525.1' cy='32.2' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='531.4' cy='100.9' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='482.7' cy='105.4' r='6.8' fill='#D55E00' stroke-width='1'/><circle class='sa-point' cx='351.0' cy='112.4' r='6.8' fill='#D55E00' stroke-width='1'/><circle cx='798.5' cy='125.0' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='694.9' cy='129.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='692.8' cy='143.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='476.7' cy='144.3' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='493.7' cy='146.1' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='547.1' cy='158.4' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='798.1' cy='236.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='742.0' cy='285.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle cx='813.0' cy='329.8' r='5.8' fill='#d3d3d3' fill-opacity='0.8' stroke='#808080' stroke-width='1'/><circle class='sa-point' cx='116.1' cy='352.0' r='6.8' fill='#D55E00' stroke-width='1'/><line class='sa-ink' x1='525.1' y1='32.2' x2='402.7' y2='25.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='402.7' y='25.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>RFImportance</text><line class='sa-ink' x1='531.4' y1='100.9' x2='549.3' y2='86.1' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='549.3' y='86.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>MI</text><text class='sa-text sa-halo' x='484.0' y='91.1' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>CART</text><line class='sa-ink' x1='351.0' y1='112.4' x2='301.5' y2='125.6' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='301.5' y='125.6' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>F-Test</text><text class='sa-dim sa-halo' x='797.9' y='110.2' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>(R)ReliefF</text><line class='sa-ink' x1='694.9' y1='129.1' x2='636.7' y2='114.9' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='636.7' y='114.9' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>ElasticNet</text><line class='sa-ink' x1='692.8' y1='143.1' x2='648.7' y2='150.0' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='648.7' y='150.0' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>Lasso</text><line class='sa-ink' x1='476.7' y1='144.3' x2='370.1' y2='158.7' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='370.1' y='158.7' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='400'>GainRatio</text><line class='sa-ink' x1='493.7' y1='146.1' x2='510.7' y2='188.3' stroke-width='1' opacity='0.6'/><text class='sa-dim sa-halo' x='510.7' y='188.3' text-anchor='middle' dominant-baseline='central' font-size='18' 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class='sa-ink' x1='116.1' y1='352.0' x2='168.9' y2='337.8' stroke-width='1' opacity='0.6'/><text class='sa-text sa-halo' x='168.9' y='337.8' text-anchor='middle' dominant-baseline='central' font-size='18' font-weight='700'>Random</text><rect class='sa-legend' x='610.8' y='296.0' width='225.0' height='60.0' rx='4'/><circle stroke='#808080' cx='631.8' cy='314.0' r='6.0' fill='#d3d3d3'/><text class='sa-text' x='649.8' y='320.0' font-size='15'>Dominated Methods</text><circle class='sa-point' cx='631.8' cy='338.0' r='6.0' fill='#D55E00'/><text class='sa-text' x='649.8' y='344.0' font-size='15'>Pareto Front</text><circle class='sa-hit' cx='525.1' cy='32.2' r='10.5' data-tip='RFImportance (on the Pareto front) Improvement over Random: 19.7% Selection time per 1k features: 39.4 s Datasets: 71' aria-label='RFImportance (on the Pareto front) Improvement over Random: 19.7% Selection time per 1k features: 39.4 s Datasets: 71'/><circle class='sa-hit' cx='531.4' cy='100.9' r='10.5' data-tip='MI 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14.0% Selection time per 1k features: 2.39e+04 s Datasets: 71'/><circle class='sa-hit' cx='694.9' cy='129.1' r='10.5' data-tip='ElasticNet Improvement over Random: 13.7% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 12.9%, 2e+03 s' aria-label='ElasticNet Improvement over Random: 13.7% Selection time per 1k features: 2.11e+03 s Datasets: 71 Next to Lasso: 12.9%, 2e+03 s'/><circle class='sa-hit' cx='692.8' cy='143.1' r='10.5' data-tip='Lasso Improvement over Random: 12.9% Selection time per 1k features: 2e+03 s Datasets: 71 Next to ElasticNet: 13.7%, 2.11e+03 s' aria-label='Lasso Improvement over Random: 12.9% Selection time per 1k features: 2e+03 s Datasets: 71 Next to ElasticNet: 13.7%, 2.11e+03 s'/><circle class='sa-hit' cx='476.7' cy='144.3' r='10.5' data-tip='GainRatio Improvement over Random: 12.8% Selection time per 1k features: 12.6 s Datasets: 71 Next to MarkovBlanket: 12.7%, 18.9 s' aria-label='GainRatio Improvement over Random: 12.8% Selection time per 1k features: 12.6 s Datasets: 71 Next to MarkovBlanket: 12.7%, 18.9 s'/><circle class='sa-hit' cx='493.7' cy='146.1' r='10.5' data-tip='MarkovBlanket Improvement over Random: 12.7% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 12.8%, 12.6 s' aria-label='MarkovBlanket Improvement over Random: 12.7% Selection time per 1k features: 18.9 s Datasets: 71 Next to GainRatio: 12.8%, 12.6 s'/><circle class='sa-hit' cx='547.1' cy='158.4' r='10.5' data-tip='mRMR Improvement over Random: 11.9% Selection time per 1k features: 65.9 s Datasets: 71' aria-label='mRMR Improvement over Random: 11.9% Selection time per 1k features: 65.9 s Datasets: 71'/><circle class='sa-hit' cx='798.1' cy='236.8' r='10.5' data-tip='SBE Improvement over Random: 7.1% Selection time per 1k features: 2.37e+04 s Datasets: 71' aria-label='SBE Improvement over Random: 7.1% Selection time per 1k features: 2.37e+04 s Datasets: 71'/><circle class='sa-hit' cx='742.0' cy='285.8' r='10.5' data-tip='LOCO Improvement over Random: 4.1% Selection time per 1k features: 6.36e+03 s Datasets: 71' aria-label='LOCO Improvement over Random: 4.1% Selection time per 1k features: 6.36e+03 s Datasets: 71'/><circle class='sa-hit' cx='813.0' cy='329.8' r='10.5' data-tip='SFS Improvement over Random: 1.4% Selection time per 1k features: 3.35e+04 s Datasets: 71' aria-label='SFS Improvement over Random: 1.4% Selection time per 1k features: 3.35e+04 s Datasets: 71'/><circle class='sa-hit' cx='116.1' cy='352.0' r='10.5' data-tip='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71' aria-label='Random (on the Pareto front) Improvement over Random: 0.0% Selection time per 1k features: 0.0027 s Datasets: 71'/></svg><script type='text/plain' id='sa-csv'>method,improvement,time_per_1k,n_datasets,pareto_optimal
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RFImportance,19.7026,39.3595,71,True
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| 37 |
MI,15.4689,45.5885,71,False
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CART,15.1945,14.5695,71,True
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class=''>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'>RFImportance</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+43 / β37</span></td><td class='num' data-sort='11.7'>11.7</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'>CART</td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1217.0'>1217<span class='sub'>+46 / β39</span></td><td class='num' data-sort='7.2'>7.2</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='(R)ReliefF'>(R)ReliefF</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+48 / β44</span></td><td class='num' data-sort='8.4'>8.4</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='12.6'>12.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'>MI</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+41 / β42</span></td><td class='num' data-sort='8.6'>8.6</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'>ElasticNet</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+50 / β49</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'>F-Test</td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+52 / β51</span></td><td class='num' data-sort='10.7'>10.7</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'>MarkovBlanket</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+49 / β49</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'>mRMR</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1145.0'>1145<span class='sub'>+56 / β53</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'>GainRatio</td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1128.0'>1128<span class='sub'>+51 / β47</span></td><td class='num' data-sort='6.0'>6.0</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='Lasso'>Lasso</td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1120.0'>1120<span class='sub'>+47 / β42</span></td><td class='num' data-sort='4.6'>4.6</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'>SBE</td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1116.0'>1116<span class='sub'>+47 / β49</span></td><td class='num' data-sort='4.7'>4.7</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1029.1'>1,029.1</td><td class='num' data-sort='40.8'>40.8</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'>LOCO</td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+48 / β46</span></td><td class='num' data-sort='3.5'>3.5</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='246.5'>246.5</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'>SFS</td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1080.0'>1080<span class='sub'>+43 / β46</span></td><td class='num' data-sort='0.6'>0.6</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3207.4'>3,207.4</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+50 / β54</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'>LaplacianScore</td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='947.0'>947<span class='sub'>+60 / β71</span></td><td class='num' data-sort='-81.5'>-81.5</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 36 |
1,RFImportance,Non-search,Tree,1265.0,1228.0,1308.0,11.7,0.597,0.507,0.2,0.0
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2,CART,Non-search,Tree,1217.0,1178.0,1263.0,7.2,0.324,0.482,0.1,0.0
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| 38 |
3,(R)ReliefF,Non-search,Distance,1192.0,1148.0,1240.0,8.4,0.612,0.594,12.6,0.0
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</style></head><body><div class='toolbar'><span class='hint'>Click a column to sort and a method to open its paper. Hover a header for its definition. Stability and validity are shaded as in the Elo figure: darker is better.</span><button onclick="saCsv('selectarena_leaderboard.csv')">CSV</button></div><div class='wrap'><table id='sa-table'><thead><tr><th class='num' title='Rank by Elo.'>#</th><th class='' title='Click a method to open its paper (the one cited in Table 2 of the SelectArena paper).'>Method</th><th class='' title='Taxonomy of the paper (Appendix A). Search methods evaluate many feature subsets with the model (forward, backward, leave-one-out); non-search methods use a proxy instead (correlation, distance, information theory, tree, regularization).'>Type</th><th class='num' title='Bradley-Terry Elo from pairwise matches within each dataset, budget and downstream model. Random = 1000. +/β give the 95% bootstrap interval.'>Elo β</th><th class='num' title='Mean reduction of the downstream error compared with random selection on the same dataset, in % (as in the Pareto figure; Random is 0).'>Improvement over Random β</th><th class='num' title='Agreement of the selected features across bootstrap resamples (Nogueira et al., 2018).'>Stability β</th><th class='num' title='Share of the budget filled with original features when as many noise features are added.'>Validity β</th><th class='num' title='Median wall-clock time of the selection.'>Time (s) β</th><th class='num' title='Share of runs where the method ran out of time and random features filled the budget.'>Fallback (%)</th></tr></thead><tbody><tr><td class='num' data-sort='1'><span class='medal' role='img' aria-label='gold medal'>π₯</span>1</td><td class='method' data-sort='RFImportance'><a class='paper' href='https://doi.org/10.1023/A:1010933404324' target='_blank' rel='noopener'>RFImportance</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1265.0'>1265<span class='sub'>+43 / β37</span></td><td class='num' data-sort='11.7'>11.7</td><td class='num shaded' data-sort='0.597' style='background:rgba(0,114,178,0.48)'>0.597</td><td class='num shaded' data-sort='0.507' style='background:rgba(213,94,0,0.42)'>0.507</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='2'><span class='medal' role='img' aria-label='silver medal'>π₯</span>2</td><td class='method' data-sort='CART'><a class='paper' href='https://doi.org/10.1201/9781315139470' target='_blank' rel='noopener'>CART</a></td><td class='' data-sort='Tree'><span class='pill cat-non-search'>Tree</span><span class='sub'>non-search</span></td><td class='num' data-sort='1217.0'>1217<span class='sub'>+46 / β39</span></td><td class='num' data-sort='7.2'>7.2</td><td class='num shaded' data-sort='0.324' style='background:rgba(0,114,178,0.30)'>0.324</td><td class='num shaded' data-sort='0.482' style='background:rgba(213,94,0,0.40)'>0.482</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='3'><span class='medal' role='img' aria-label='bronze medal'>π₯</span>3</td><td class='method' data-sort='(R)ReliefF'><a class='paper' href='https://doi.org/10.1023/A:1008280620621' target='_blank' rel='noopener'>(R)ReliefF</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='1192.0'>1192<span class='sub'>+48 / β44</span></td><td class='num' data-sort='8.4'>8.4</td><td class='num shaded' data-sort='0.612' style='background:rgba(0,114,178,0.49)'>0.612</td><td class='num shaded' data-sort='0.594' style='background:rgba(213,94,0,0.48)'>0.594</td><td class='num' data-sort='12.6'>12.6</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='4'><span class='medal'></span>4</td><td class='method' data-sort='MI'><a class='paper' href='https://doi.org/10.1109/72.298224' target='_blank' rel='noopener'>MI</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1181.0'>1181<span class='sub'>+41 / β42</span></td><td class='num' data-sort='8.6'>8.6</td><td class='num shaded' data-sort='0.587' style='background:rgba(0,114,178,0.47)'>0.587</td><td class='num shaded' data-sort='0.627' style='background:rgba(213,94,0,0.50)'>0.627</td><td class='num' data-sort='0.4'>0.4</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='5'><span class='medal'></span>5</td><td class='method' data-sort='ElasticNet'><a class='paper' href='https://doi.org/10.1111/j.1467-9868.2005.00503.x' target='_blank' rel='noopener'>ElasticNet</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1176.0'>1176<span class='sub'>+50 / β49</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.308' style='background:rgba(0,114,178,0.29)'>0.308</td><td class='num shaded' data-sort='0.568' style='background:rgba(213,94,0,0.46)'>0.568</td><td class='num' data-sort='6.1'>6.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='6'><span class='medal'></span>6</td><td class='method' data-sort='F-Test'><a class='paper' href='https://doi.org/10.1016/0169-7439(89)80095-4' target='_blank' rel='noopener'>F-Test</a></td><td class='' data-sort='Correlation'><span class='pill cat-non-search'>Correlation</span><span class='sub'>non-search</span></td><td class='num' data-sort='1171.0'>1171<span class='sub'>+52 / β51</span></td><td class='num' data-sort='10.7'>10.7</td><td class='num shaded' data-sort='0.562' style='background:rgba(0,114,178,0.46)'>0.562</td><td class='num shaded' data-sort='0.689' style='background:rgba(213,94,0,0.54)'>0.689</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='7'><span class='medal'></span>7</td><td class='method' data-sort='MarkovBlanket'><a class='paper' href='http://ilpubs.stanford.edu:8090/208/' target='_blank' rel='noopener'>MarkovBlanket</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1169.0'>1169<span class='sub'>+49 / β49</span></td><td class='num' data-sort='8.1'>8.1</td><td class='num shaded' data-sort='0.404' style='background:rgba(0,114,178,0.35)'>0.404</td><td class='num shaded' data-sort='0.463' style='background:rgba(213,94,0,0.39)'>0.463</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='8'><span class='medal'></span>8</td><td class='method' data-sort='mRMR'><a class='paper' href='https://doi.org/10.1109/TPAMI.2005.159' target='_blank' rel='noopener'>mRMR</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1145.0'>1145<span class='sub'>+56 / β53</span></td><td class='num' data-sort='7.5'>7.5</td><td class='num shaded' data-sort='0.651' style='background:rgba(0,114,178,0.52)'>0.651</td><td class='num shaded' data-sort='0.53' style='background:rgba(213,94,0,0.44)'>0.530</td><td class='num' data-sort='0.5'>0.5</td><td class='num' data-sort='9.9'>9.9</td></tr><tr><td class='num' data-sort='9'><span class='medal'></span>9</td><td class='method' data-sort='GainRatio'><a class='paper' href='https://doi.org/10.1007/BF00116251' target='_blank' rel='noopener'>GainRatio</a></td><td class='' data-sort='Information theory'><span class='pill cat-non-search'>Information theory</span><span class='sub'>non-search</span></td><td class='num' data-sort='1128.0'>1128<span class='sub'>+51 / β47</span></td><td class='num' data-sort='6.0'>6.0</td><td class='num shaded' data-sort='0.55' style='background:rgba(0,114,178,0.45)'>0.550</td><td class='num shaded' data-sort='0.659' style='background:rgba(213,94,0,0.52)'>0.659</td><td class='num' data-sort='0.1'>0.1</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='10'><span class='medal'></span>10</td><td class='method' data-sort='Lasso'><a class='paper' href='https://doi.org/10.1111/j.2517-6161.1996.tb02080.x' target='_blank' rel='noopener'>Lasso</a></td><td class='' data-sort='Regularization'><span class='pill cat-non-search'>Regularization</span><span class='sub'>non-search</span></td><td class='num' data-sort='1120.0'>1120<span class='sub'>+47 / β42</span></td><td class='num' data-sort='4.6'>4.6</td><td class='num shaded' data-sort='0.246' style='background:rgba(0,114,178,0.24)'>0.246</td><td class='num shaded' data-sort='0.563' style='background:rgba(213,94,0,0.46)'>0.563</td><td class='num' data-sort='1.8'>1.8</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='11'><span class='medal'></span>11</td><td class='method' data-sort='SBE'><a class='paper' href='https://doi.org/10.1023/A:1012487302797' target='_blank' rel='noopener'>SBE</a></td><td class='' data-sort='Backward search'><span class='pill cat-search'>Backward search</span><span class='sub'>search</span></td><td class='num' data-sort='1116.0'>1116<span class='sub'>+47 / β49</span></td><td class='num' data-sort='4.7'>4.7</td><td class='num shaded' data-sort='0.059' style='background:rgba(0,114,178,0.12)'>0.059</td><td class='num shaded' data-sort='0.517' style='background:rgba(213,94,0,0.43)'>0.517</td><td class='num' data-sort='1029.1'>1,029.1</td><td class='num' data-sort='40.8'>40.8</td></tr><tr><td class='num' data-sort='12'><span class='medal'></span>12</td><td class='method' data-sort='LOCO'><a class='paper' href='https://arxiv.org/abs/1604.04173' target='_blank' rel='noopener'>LOCO</a></td><td class='' data-sort='Leave-one-out'><span class='pill cat-search'>Leave-one-out</span><span class='sub'>search</span></td><td class='num' data-sort='1092.0'>1092<span class='sub'>+48 / β46</span></td><td class='num' data-sort='3.5'>3.5</td><td class='num shaded' data-sort='0.08' style='background:rgba(0,114,178,0.13)'>0.080</td><td class='num shaded' data-sort='0.52' style='background:rgba(213,94,0,0.43)'>0.520</td><td class='num' data-sort='246.5'>246.5</td><td class='num' data-sort='18.3'>18.3</td></tr><tr><td class='num' data-sort='13'><span class='medal'></span>13</td><td class='method' data-sort='SFS'><a class='paper' href='https://doi.org/10.1109/TSMC.1977.4309803' target='_blank' rel='noopener'>SFS</a></td><td class='' data-sort='Forward search'><span class='pill cat-search'>Forward search</span><span class='sub'>search</span></td><td class='num' data-sort='1080.0'>1080<span class='sub'>+43 / β46</span></td><td class='num' data-sort='0.6'>0.6</td><td class='num shaded' data-sort='0.176' style='background:rgba(0,114,178,0.20)'>0.176</td><td class='num shaded' data-sort='0.525' style='background:rgba(213,94,0,0.43)'>0.525</td><td class='num' data-sort='3207.4'>3,207.4</td><td class='num' data-sort='48.8'>48.8</td></tr><tr><td class='num' data-sort='14'><span class='medal'></span>14</td><td class='method' data-sort='Random'>Random</td><td class='' data-sort='Baseline'><span class='pill cat-baseline'>Baseline</span></td><td class='num' data-sort='1000.0'>1000<span class='sub'>+50 / β54</span></td><td class='num' data-sort='0.0'>0.0</td><td class='num shaded' data-sort='0.002' style='background:rgba(0,114,178,0.08)'>0.002</td><td class='num shaded' data-sort='0.5' style='background:rgba(213,94,0,0.42)'>0.500</td><td class='num' data-sort='0.0'>0.0</td><td class='num' data-sort='0.0'>0.0</td></tr><tr><td class='num' data-sort='15'><span class='medal'></span>15</td><td class='method' data-sort='LaplacianScore'><a class='paper' href='https://proceedings.neurips.cc/paper_files/paper/2005/file/b5b03f06271f8917685d14cea7c6c50a-Paper.pdf' target='_blank' rel='noopener'>LaplacianScore</a></td><td class='' data-sort='Distance'><span class='pill cat-non-search'>Distance</span><span class='sub'>non-search</span></td><td class='num' data-sort='947.0'>947<span class='sub'>+60 / β71</span></td><td class='num' data-sort='-81.5'>-81.5</td><td class='num shaded' data-sort='0.678' style='background:rgba(0,114,178,0.53)'>0.678</td><td class='num shaded' data-sort='0.701' style='background:rgba(213,94,0,0.55)'>0.701</td><td class='num' data-sort='0.2'>0.2</td><td class='num' data-sort='0.0'>0.0</td></tr></tbody></table></div><script type='text/plain' id='sa-csv'>Rank,Method,Category,Subgroup,Elo,Elo CI low,Elo CI high,Improvement over Random (%),Stability,Validity,Selection time (s),Fallback rate (%)
|
| 38 |
1,RFImportance,Non-search,Tree,1265.0,1228.0,1308.0,11.7,0.597,0.507,0.2,0.0
|
| 39 |
2,CART,Non-search,Tree,1217.0,1178.0,1263.0,7.2,0.324,0.482,0.1,0.0
|
| 40 |
3,(R)ReliefF,Non-search,Distance,1192.0,1148.0,1240.0,8.4,0.612,0.594,12.6,0.0
|