results/priority_metrics.json

{
  "model": "GradientBoostingRegressor",
  "n_train": 40000,
  "n_test": 10000,
  "n_features": 39,
  "test": {
    "r2": 0.603317878990091,
    "explained_variance": 0.6033621819811885,
    "mae": 0.032294680552199376,
    "median_abs_err": 0.0038764424498446415,
    "rmse": 0.059880713389878125,
    "mape": 0.040893161303422576,
    "max_error": 0.2599922656457546,
    "pearson_r": 0.7772041067358668,
    "pearson_p": 0.0,
    "spearman_rho": 0.8595923487286917,
    "spearman_p": 0.0
  },
  "residuals": {
    "mean": 0.0006328228853243625,
    "std": 0.05987736944185624,
    "p05": -0.15527903811242424,
    "p50": 0.0008676297375017072,
    "p95": 0.08866866845286552
  },
  "cv": {
    "r2_mean": 0.6148303287209793,
    "r2_std": 0.002304745494822738,
    "r2_folds": [
      0.6130495157959739,
      0.6156046016910167,
      0.615789428582328,
      0.611547429055133,
      0.6181606684804452
    ],
    "mae_mean": 0.031321037489948765,
    "mae_std": 0.00041568885998230894,
    "mae_folds": [
      0.03157843702203713,
      0.03181140907484607,
      0.03156603553312271,
      0.03087181214720307,
      0.03077749367253484
    ]
  }
}