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Parent(s): ea743d6
Reformulate subtitle
Browse files- AGENTS.md +1 -1
- index.html +2 -2
AGENTS.md
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@@ -11,7 +11,7 @@ run no compute, so they are free; do not switch it to Gradio or Docker (those ne
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Elo figure above the table; Performance Trade-offs: Pareto front and complete results; Stability;
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Validity),
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all user-facing text (each explanation sits next to the figure or table it describes; there is no
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About tab; the Paper and GitHub links
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in the footer) and `<meta name="selectarena-version">` (not displayed; there is no version
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history, the commit messages are the changelog).
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- `assets/app.js`: plain JavaScript, no build step. Fetches `data/meta.json`, renders the selector
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Elo figure above the table; Performance Trade-offs: Pareto front and complete results; Stability;
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Validity),
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all user-facing text (each explanation sits next to the figure or table it describes; there is no
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About tab; the Paper and GitHub links are the header buttons), the citation (always visible
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in the footer) and `<meta name="selectarena-version">` (not displayed; there is no version
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history, the commit messages are the changelog).
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- `assets/app.js`: plain JavaScript, no build step. Fetches `data/meta.json`, renders the selector
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index.html
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@@ -4,7 +4,7 @@
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<!-- Bumped with every data refresh (shown in the header). -->
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<meta name="selectarena-version" content="0.8.
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<title>SelectArena Leaderboard</title>
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<meta name="description" content="Leaderboard of feature selection methods on real-world tabular data.">
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<link rel="icon" type="image/svg+xml" href="assets/logo.svg">
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</header>
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<p class="intro">
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-
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</p>
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<div class="tabs" role="tablist" aria-label="Leaderboard sections">
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<!-- Bumped with every data refresh (shown in the header). -->
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<meta name="selectarena-version" content="0.8.7">
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<title>SelectArena Leaderboard</title>
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<meta name="description" content="Leaderboard of feature selection methods on real-world tabular data.">
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<link rel="icon" type="image/svg+xml" href="assets/logo.svg">
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</header>
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<p class="intro">
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Which feature selection method should I use? SelectArena compares them on predictive performance, stability and validity. It is a living benchmark: more method will be added.
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</p>
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<div class="tabs" role="tablist" aria-label="Leaderboard sections">
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