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README.md

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+---
+tags:
+- sklearn
+- predictive-maintenance
+- classification
+- automotive
+library_name: sklearn
+license: apache-2.0
+pipeline_tag: text-classification
+---
+
+# Engine Predictive Maintenance Model
+
+**Best model:** `GradientBoosting`  
+**F1 (test):** 0.7657
+
+## Usage
+
+```python
+import pickle, pandas as pd
+with open('best_model.pkl', 'rb') as f:
+    model = pickle.load(f)
+# X = pd.DataFrame([{
+#     'engine_rpm': 2500, 'lub_oil_pressure': 4.2, 'fuel_pressure': 110,
+#     'coolant_pressure': 1.2, 'lub_oil_temp': 95, 'coolant_temp': 88
+# }])
+# pred = model.predict(X)[0]
+```
+
+## Notes
+- Tuned via GridSearchCV (scoring=F1), metrics logged with MLflow.