{
  "environment": {
    "python": "3.13.7",
    "numpy": "2.2.6",
    "pandas": "2.3.1",
    "sklearn": "1.7.1",
    "statsmodels": "0.14.5",
    "matplotlib": "3.10.5"
  },
  "seed": 42,
  "scope": "Selected trusted article snippets, bundled datasets and synthetic examples; not full article reproduction",
  "iris": {
    "best_C": 10,
    "test_macro_f1": 1.0,
    "confusion_matrix": [
      [
        10,
        0,
        0
      ],
      [
        0,
        10,
        0
      ],
      [
        0,
        0,
        10
      ]
    ],
    "test_prediction_calls": 1,
    "training_only_statistics": true,
    "mixed_missing_and_unknown_passed": true,
    "trusted_persistence_roundtrip": true
  },
  "regression": {
    "rmse": 11.844391225264046,
    "mae": 9.741236264210128,
    "r2": 0.9875679927050918,
    "coefficients": [
      3.5311806029841364,
      -1.2657360064082095,
      0.29920366419583344
    ],
    "vif_with_intercept": [
      1.003018953064248,
      1.0045332216374214,
      1.0030308846812577
    ],
    "log_array_shape": [
      500,
      4
    ],
    "polynomial_features": 9,
    "constant_target_defaults_checked": true
  },
  "trees": {
    "selected_depth": 5,
    "wine_test_macro_f1": 0.9457411645054665,
    "wine_test_prediction_calls": 1,
    "extrapolation_within_training_target_range": true,
    "constant_predictions_outside_training_x": true,
    "diabetes_example_executed": true
  },
  "clustering": {
    "original_model_K": 2,
    "candidate_count": 6,
    "new_labels": [
      0,
      1
    ],
    "inverse_centers_match_raw_means": true,
    "moons_kmeans_ari": 0.24811860052823909,
    "moons_dbscan_ari": 1.0,
    "dbscan_noise": 0,
    "dbscan_clusters": 2,
    "scope": "Synthetic geometry only; no business benchmark"
  },
  "executed_snippets": [
    "ml-basics-scikit-learn#iris-setup",
    "ml-basics-scikit-learn#iris-cv",
    "ml-basics-scikit-learn#mixed-pipeline",
    "ml-basics-scikit-learn#iris-search",
    "ml-basics-scikit-learn#iris-final",
    "ml-basics-scikit-learn#iris-persistence",
    "ml-linear-regression#regression-setup",
    "ml-linear-regression#regression-vif",
    "ml-linear-regression#regression-regularization",
    "ml-linear-regression#regression-log",
    "ml-linear-regression#regression-polynomial",
    "ml-decision-tree#tree-setup",
    "ml-decision-tree#tree-pruning",
    "ml-decision-tree#tree-regression",
    "ml-decision-tree#tree-selection",
    "ml-kmeans-clustering#clustering-setup",
    "ml-kmeans-clustering#clustering-candidates",
    "ml-kmeans-clustering#clustering-predict"
  ]
}