Upload training_config.json

training_config.json

@@ -0,0 +1,70 @@
+{
+  "model_name": "CBC Healthcare Readmission Classifier",
+  "hf_repo": "careerbytecode/mlops-ref-healthcare-readmission",
+  "task": "binary classification (30-day hospital readmission)",
+  "model_type": "sigmoid-calibrated rf (sklearn Pipeline, 3-branch ColumnTransformer)",
+  "framework": "scikit-learn",
+  "serialization": "joblib",
+  "loader": "joblib.load -> CalibratedClassifierCV; call .predict_proba(DataFrame)[:, 1]",
+  "random_state": 42,
+  "split": {
+    "train": 61059,
+    "val": 20353,
+    "test": 20354
+  },
+  "feature_columns": [
+    "time_in_hospital",
+    "num_lab_procedures",
+    "num_procedures",
+    "num_medications",
+    "number_diagnoses",
+    "number_inpatient",
+    "number_outpatient",
+    "number_emergency",
+    "race",
+    "gender",
+    "age",
+    "A1Cresult",
+    "max_glu_serum",
+    "insulin",
+    "change",
+    "diabetesMed",
+    "diag_1",
+    "diag_2",
+    "diag_3"
+  ],
+  "numeric_features": [
+    "time_in_hospital",
+    "num_lab_procedures",
+    "num_procedures",
+    "num_medications",
+    "number_diagnoses",
+    "number_inpatient",
+    "number_outpatient",
+    "number_emergency"
+  ],
+  "low_cardinality_categorical": [
+    "race",
+    "gender",
+    "age",
+    "A1Cresult",
+    "max_glu_serum",
+    "insulin",
+    "change",
+    "diabetesMed"
+  ],
+  "high_cardinality_diagnoses": [
+    "diag_1",
+    "diag_2",
+    "diag_3"
+  ],
+  "dataset": "UCI Diabetes 130-US Hospitals 1999-2008 (id 296), CC BY 4.0",
+  "python_version": "3.14.4",
+  "library_versions": {
+    "scikit-learn": "1.8.0",
+    "numpy": "2.4.6",
+    "pandas": "2.3.3",
+    "joblib": "1.5.3"
+  },
+  "training_date": "2026-06-04T20:31:40.072484+00:00"
+}