{
  "model_type": "sklearn",
  "task": "regression",
  "target": "nasa_radiation",
  "prediction_column": "prediction_label",
  "library_name": "pycaret",
  "pycaret_version": "3.2.0",
  "scikit_learn_version": "1.2.2",
  "serialization": "pickle",
  "estimator_class": "sklearn.ensemble.RandomForestRegressor",
  "pipeline": {
    "preprocessing": [
      {
        "name": "numerical_imputer",
        "transformer": "sklearn.impute.SimpleImputer",
        "includes": ["sp", "t", "r2", "u10", "v10", "SUNSD", "lcc", "mcc", "hcc", "sdswrf"]
      },
      {
        "name": "categorical_imputer",
        "transformer": "sklearn.impute.SimpleImputer",
        "strategy": "most_frequent",
        "includes": []
      },
      {
        "name": "normalize",
        "transformer": "sklearn.preprocessing.MinMaxScaler"
      }
    ],
    "trained_model": {
      "name": "RandomForestRegressor",
      "params": {
        "n_jobs": -1,
        "random_state": 123
      }
    }
  },
  "input_schema": {
    "features": [
      { "name": "sp", "dtype": "float" },
      { "name": "t", "dtype": "float" },
      { "name": "r2", "dtype": "float" },
      { "name": "u10", "dtype": "float" },
      { "name": "v10", "dtype": "float" },
      { "name": "SUNSD", "dtype": "float" },
      { "name": "lcc", "dtype": "float" },
      { "name": "mcc", "dtype": "float" },
      { "name": "hcc", "dtype": "float" },
      { "name": "sdswrf", "dtype": "float" }
    ]
  },
  "evaluation": {
    "split": "holdout",
    "rows": 972260,
    "metrics": {
      "MAE": 75.50362673902671,
      "RMSE": 126.1365660235317,
      "R2": 0.7516510842417514
    },
    "notes": [
      "Metrics computed from MAKING_MODEL/holdout_pred.csv using columns nasa_radiation (true) and prediction_label (pred).",
      "MAPE is omitted because nasa_radiation can be near zero, which makes percentage errors unstable."
    ]
  },
  "training_data": {
    "source_file": "integrated_gfs_nasa_power_2024_full.csv",
    "notes": [
      "See TRAINING_ARTIFACTS/README.md for training/evaluation artifacts and scripts."
    ]
  },
  "artifacts": {
    "files": ["Suncast_v1.pkl", "config.json"]
  }
}