models/classifier_models/ecg_surgery/model_metadata.json

{
  "model_name": "InceptionTime",
  "model_file": "inceptiontime_model.pkl",
  "use_case": "Pre vs Post Procedural MI (Surgery)",
  "positive_class": "pre-procedural MI",
  "negative_class": "post-procedural MI",
  "class_labels": [
    "post-procedural MI",
    "pre-procedural MI"
  ],
  "features": [
    "I",
    "aVR",
    "V1",
    "V4",
    "II",
    "aVL",
    "V2",
    "V5",
    "III",
    "aVF",
    "V3",
    "V6"
  ],
  "n_features": 12,
  "n_timesteps": 140,
  "hyperparameters": {
    "n_epochs": 200,
    "batch_size": 64,
    "random_state": 42,
    "verbose": true
  },
  "training_data": "data/ecg_surgery_segmented_50_150_70.csv",
  "training_date": "2026-06-02 20:26:15",
  "training_time_seconds": 251.83,
  "preprocessing": {
    "normalization": "per_subject_max_abs",
    "smote_tomek": true,
    "test_size": 0.25,
    "random_state": 42
  },
  "training_samples": 1104,
  "test_samples": 338,
  "test_metrics": {
    "accuracy": 0.9142011834319527,
    "precision": 0.8974358974358975,
    "recall": 0.9150326797385621,
    "f1": 0.9061488673139159,
    "sensitivity": 0.9150326797385621,
    "specificity": 0.9135135135135135,
    "confusion_matrix": [
      [
        169,
        16
      ],
      [
        13,
        140
      ]
    ]
  }
}