data/baselines.json

{
  "fingerprint": "cf317fdd286fa0bf",
  "n_estimators": 8,
  "market_contract_threshold": 1000000,
  "regression": [
    {
      "method": "Ridge regression (standardized inputs, alpha chosen by inner cross-validation)",
      "subset": "all players",
      "n": 148,
      "r2_log_salary": -0.001,
      "spearman_rho": 0.253,
      "mean_abs_error_log": 1.247
    },
    {
      "method": "k-nearest neighbours (k = 10, standardized inputs)",
      "subset": "all players",
      "n": 148,
      "r2_log_salary": -0.12,
      "spearman_rho": -0.07,
      "mean_abs_error_log": 1.367
    },
    {
      "method": "Random forest (200 trees)",
      "subset": "all players",
      "n": 148,
      "r2_log_salary": -0.107,
      "spearman_rho": 0.028,
      "mean_abs_error_log": 1.348
    },
    {
      "method": "TabICLv2 (median of the predicted distribution)",
      "subset": "all players",
      "n": 148,
      "r2_log_salary": -0.156,
      "spearman_rho": 0.18,
      "mean_abs_error_log": 1.298
    },
    {
      "method": "Ridge regression (standardized inputs, alpha chosen by inner cross-validation)",
      "subset": "market contracts",
      "n": 97,
      "r2_log_salary": -0.037,
      "spearman_rho": 0.264,
      "mean_abs_error_log": 0.687
    },
    {
      "method": "k-nearest neighbours (k = 10, standardized inputs)",
      "subset": "market contracts",
      "n": 97,
      "r2_log_salary": -0.004,
      "spearman_rho": 0.103,
      "mean_abs_error_log": 0.686
    },
    {
      "method": "Random forest (200 trees)",
      "subset": "market contracts",
      "n": 97,
      "r2_log_salary": -0.001,
      "spearman_rho": 0.197,
      "mean_abs_error_log": 0.687
    },
    {
      "method": "TabICLv2 (median of the predicted distribution)",
      "subset": "market contracts",
      "n": 97,
      "r2_log_salary": 0.114,
      "spearman_rho": 0.345,
      "mean_abs_error_log": 0.622
    }
  ],
  "classification": [
    {
      "method": "Logistic regression (standardized inputs)",
      "auc": 0.485,
      "accuracy": 0.615
    },
    {
      "method": "TabICLv2 classifier",
      "auc": 0.37,
      "accuracy": 0.635
    }
  ],
  "majority_class_accuracy": 0.655,
  "seconds": 295
}