sample_maintenance_model.json

{
  "model_type": "logistic_regression_gradient_descent",
  "feature_names": [
    "age_days",
    "closure_days",
    "is_open",
    "is_closed",
    "is_winter",
    "occupied_unit",
    "recurrence_count",
    "asset_age_years",
    "category_appliance",
    "category_cleaning",
    "category_cosmetic",
    "category_electrical",
    "category_hvac",
    "category_life_safety",
    "category_pest",
    "category_plumbing",
    "category_other"
  ],
  "weights": [
    0.37322113,
    -0.58554304,
    0.9549018,
    -0.9549018,
    0.10477837,
    0.26356203,
    0.72465666,
    0.38223667,
    -0.45975532,
    0.0,
    -0.26356203,
    0.0,
    0.16817811,
    0.68080494,
    0.0,
    0.43215214,
    -0.55781785
  ],
  "bias": 0.04551506,
  "scaler": {
    "mean": [
      88.16666667,
      0.83333333,
      0.5,
      0.5,
      0.5,
      0.83333333,
      0.66666667,
      6.66666667,
      0.16666667,
      0.0,
      0.16666667,
      0.0,
      0.16666667,
      0.16666667,
      0.0,
      0.16666667,
      0.16666667
    ],
    "scale": [
      47.84494633,
      1.21335165,
      0.5,
      0.5,
      0.5,
      0.372678,
      0.74535599,
      3.63623737,
      0.372678,
      1.0,
      0.372678,
      1.0,
      0.372678,
      0.372678,
      1.0,
      0.372678,
      0.372678
    ]
  },
  "metrics": {
    "accuracy": 1.0,
    "precision": 1.0,
    "recall": 1.0,
    "f1": 1.0,
    "tp": 1,
    "tn": 1,
    "fp": 0,
    "fn": 0,
    "roc_auc": 1.0
  },
  "metadata": {
    "workflow": "maintenance_priority",
    "data_boundary": "small example data only; replace with approved internal labels",
    "responsible_use": "review support, not automated maintenance decisioning"
  }
}