params.json

{
    "mode": "Compete",
    "ml_task": "regression",
    "results_path": "simple_regressor_complete_perform_unchained_1_full",
    "total_time_limit": 345600,
    "model_time_limit": null,
    "algorithms": [
        "Baseline",
        "Decision Tree",
        "Random Forest",
        "Extra Trees",
        "LightGBM",
        "Xgboost",
        "CatBoost",
        "Neural Network",
        "Nearest Neighbors"
    ],
    "train_ensemble": true,
    "stack_models": true,
    "eval_metric": "rmse",
    "validation_strategy": {
        "validation_type": "kfold",
        "shuffle": true,
        "X_path": "simple_regressor_complete_perform_unchained_1_full/X.data",
        "y_path": "simple_regressor_complete_perform_unchained_1_full/y.data",
        "results_path": "simple_regressor_complete_perform_unchained_1_full",
        "k_folds": 10
    },
    "verbose": 1,
    "explain_level": 2,
    "golden_features": true,
    "features_selection": true,
    "start_random_models": 10,
    "hill_climbing_steps": 2,
    "top_models_to_improve": 5,
    "boost_on_errors": true,
    "kmeans_features": true,
    "mix_encoding": true,
    "max_single_prediction_time": null,
    "n_jobs": -1,
    "random_state": 1234,
    "saved": [
        "1_Baseline",
        "2_DecisionTree",
        "3_DecisionTree",
        "4_DecisionTree",
        "5_Default_LightGBM",
        "6_Default_Xgboost",
        "7_Default_CatBoost",
        "8_Default_NeuralNetwork",
        "9_Default_RandomForest",
        "10_Default_ExtraTrees",
        "20_LightGBM",
        "11_Xgboost",
        "29_CatBoost",
        "38_RandomForest",
        "47_ExtraTrees",
        "56_NeuralNetwork",
        "6_Default_Xgboost_categorical_mix",
        "20_LightGBM_GoldenFeatures",
        "5_Default_LightGBM_GoldenFeatures",
        "6_Default_Xgboost_categorical_mix_GoldenFeatures",
        "20_LightGBM_KMeansFeatures",
        "57_CatBoost",
        "58_CatBoost",
        "57_CatBoost_BoostOnErrors",
        "Ensemble",
        "7_Default_CatBoost_Stacked",
        "20_LightGBM_GoldenFeatures_Stacked",
        "6_Default_Xgboost_categorical_mix_GoldenFeatures_Stacked",
        "Ensemble_Stacked"
    ],
    "fit_level": "finished",
    "best_model": "Ensemble_Stacked",
    "load_on_predict": [
        "10_Default_ExtraTrees",
        "11_Xgboost",
        "20_LightGBM",
        "20_LightGBM_GoldenFeatures",
        "20_LightGBM_KMeansFeatures",
        "29_CatBoost",
        "2_DecisionTree",
        "38_RandomForest",
        "3_DecisionTree",
        "47_ExtraTrees",
        "4_DecisionTree",
        "56_NeuralNetwork",
        "57_CatBoost",
        "57_CatBoost_BoostOnErrors",
        "58_CatBoost",
        "5_Default_LightGBM",
        "5_Default_LightGBM_GoldenFeatures",
        "6_Default_Xgboost",
        "6_Default_Xgboost_categorical_mix",
        "6_Default_Xgboost_categorical_mix_GoldenFeatures",
        "7_Default_CatBoost",
        "7_Default_CatBoost_Stacked",
        "8_Default_NeuralNetwork",
        "9_Default_RandomForest",
        "Ensemble",
        "Ensemble_Stacked"
    ],
    "stacked": [
        "Ensemble",
        "7_Default_CatBoost",
        "29_CatBoost",
        "57_CatBoost",
        "58_CatBoost",
        "57_CatBoost_BoostOnErrors",
        "20_LightGBM_GoldenFeatures",
        "5_Default_LightGBM_GoldenFeatures",
        "6_Default_Xgboost_categorical_mix_GoldenFeatures",
        "20_LightGBM",
        "5_Default_LightGBM",
        "20_LightGBM_KMeansFeatures",
        "6_Default_Xgboost_categorical_mix",
        "6_Default_Xgboost",
        "11_Xgboost",
        "8_Default_NeuralNetwork",
        "56_NeuralNetwork",
        "38_RandomForest",
        "9_Default_RandomForest",
        "10_Default_ExtraTrees",
        "3_DecisionTree",
        "4_DecisionTree",
        "47_ExtraTrees",
        "2_DecisionTree"
    ]
}