ml_model/assets.json

{"learner_class": "BaseLearner", "column_types": {"dbp": "numerical", "heart_rate": "numerical", "sbp": "numerical", "pH": "numerical", "PaCO2": "numerical", "PaO2": "numerical", "HCO3": "numerical", "SaO2": "numerical", "Compliance": "numerical", "Flow Rate (L/min)": "numerical", "Inspired O2 Fraction": "numerical", "Minute Volume": "numerical", "Peak Insp. Pressure": "numerical", "Plateau Pressure": "numerical", "Resistance Exp": "numerical", "Resistance Insp": "numerical", "Respiratory Rate (Total)": "numerical", "Tidal Volume (observed)": "numerical", "Tidal Volume (set)": "numerical", "Total PEEP Level": "numerical", "respiratory_diagnoses": "text", "vent_mode_group_enc": "categorical"}, "label_column": "vent_mode_group_enc", "problem_type": "multiclass", "presets": null, "eval_metric_name": "accuracy", "validation_metric_name": "accuracy", "minmax_mode": "max", "output_shape": 7, "save_path": "/kaggle/working/AutogluonModels/ag-20250807_183726", "pretrained": true, "pretrained_path": null, "fit_called": true, "best_score": null, "total_train_time": null, "version": "1.4.0"}