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README.md

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+---
+library_name: scikit-learn
+tags:
+  - machine-learning
+  - predictive-maintenance
+---
+
+# Predictive Maintenance Engine Model
+
+Final model: Tuned_LogReg_Engineered
+
+## Test Metrics
+- Accuracy: 0.6634
+- Precision: 0.6801
+- Recall: 0.8802
+- F1: 0.7673
+- ROC-AUC: 0.6903

best_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:edc5c187d9f359ad7f55847b5beeef2b3f77c9f3acd484ad0f9dd624b8ebb0f0
+size 2209

feature_names.txt

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+Engine rpm
+Lub oil pressure
+Fuel pressure
+Coolant pressure
+lub oil temp
+Coolant temp
+Temp_Difference
+Avg_Temperature
+Pressure_Difference
+Pressure_Ratio
+Avg_Pressure
+RPM_FuelPressure
+RPM_CoolantTemp

model_info.json

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+{
+    "best_model_name": "Tuned_LogReg_Engineered",
+    "feature_set": "Engineered",
+    "test_accuracy": 0.6634246224724852,
+    "test_precision": 0.6800501882057717,
+    "test_recall": 0.88022736500203,
+    "test_f1": 0.7672978233940896,
+    "test_roc_auc": 0.690277604389845,
+    "best_params": {
+        "C": 0.033977049577714476,
+        "penalty": "l2"
+    }
+}