predictive-maintenance-model / best_model_info.json
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{
"model_name": "xgboost",
"params": {
"colsample_bytree": 0.8,
"eval_metric": "mlogloss",
"learning_rate": 0.05,
"max_depth": 5,
"n_estimators": 200,
"random_state": 42,
"subsample": 0.8
},
"accuracy": 0.670079344765805,
"f1_weighted": 0.6530733232178255,
"feature_columns": [
"engine_rpm",
"lub_oil_pressure",
"fuel_pressure",
"coolant_pressure",
"lub_oil_temp",
"coolant_temp"
],
"target_column": "engine_condition"
}