{
  "model": "RandomForest",
  "weights": "rf.joblib",
  "sensors": [
    "temperature",
    "humidity",
    "vibration_rms",
    "vibration_peak",
    "motor_current",
    "motor_rpm",
    "door_cycles",
    "load_kg",
    "acoustic_db",
    "oil_level",
    "power_kw"
  ],
  "window": 60,
  "label_lag": 10,
  "fft_top_k": 5,
  "feature_names": [
    "temperature_mean",
    "humidity_mean",
    "vibration_rms_mean",
    "vibration_peak_mean",
    "motor_current_mean",
    "motor_rpm_mean",
    "door_cycles_mean",
    "load_kg_mean",
    "acoustic_db_mean",
    "oil_level_mean",
    "power_kw_mean",
    "temperature_std",
    "humidity_std",
    "vibration_rms_std",
    "vibration_peak_std",
    "motor_current_std",
    "motor_rpm_std",
    "door_cycles_std",
    "load_kg_std",
    "acoustic_db_std",
    "oil_level_std",
    "power_kw_std",
    "temperature_min",
    "humidity_min",
    "vibration_rms_min",
    "vibration_peak_min",
    "motor_current_min",
    "motor_rpm_min",
    "door_cycles_min",
    "load_kg_min",
    "acoustic_db_min",
    "oil_level_min",
    "power_kw_min",
    "temperature_max",
    "humidity_max",
    "vibration_rms_max",
    "vibration_peak_max",
    "motor_current_max",
    "motor_rpm_max",
    "door_cycles_max",
    "load_kg_max",
    "acoustic_db_max",
    "oil_level_max",
    "power_kw_max",
    "temperature_slope",
    "humidity_slope",
    "vibration_rms_slope",
    "vibration_peak_slope",
    "motor_current_slope",
    "motor_rpm_slope",
    "door_cycles_slope",
    "load_kg_slope",
    "acoustic_db_slope",
    "oil_level_slope",
    "power_kw_slope",
    "vib_fft_top1",
    "vib_fft_top2",
    "vib_fft_top3",
    "vib_fft_top4",
    "vib_fft_top5",
    "vib_fft_dominant_bin",
    "hour",
    "day_of_week"
  ],
  "threshold": 0.37666666666666665,
  "classes": [
    "failure",
    "healthy"
  ],
  "estimator": {
    "type": "RandomForestClassifier",
    "n_estimators": 300,
    "class_weight": "balanced",
    "random_state": 42
  },
  "data": "SYNTHETIC (seeded generator in training/src/data_setup.py)",
  "selection": "highest validation F1 (ties: validation PR-AUC); threshold = max F1 on validation",
  "versions": {
    "sklearn": "1.9.1",
    "numpy": "2.5.3",
    "pandas": "3.0.6",
    "joblib": "1.6.0"
  }
}