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Predictive Maintenance – Engine Condition Model
This repository contains the best-performing model trained on engine sensor data
to predict the target: Engine_Condition.
✅ Best Model
- Algorithm: GradientBoosting
- Test F1-score: 0.7601
- Test Accuracy: 0.6657
- Best Parameters:
{"clf__learning_rate": 0.1, "clf__max_depth": 3, "clf__n_estimators": 100}
📊 Features Used
- Engine_RPM
- Lub_Oil_Pressure
- Fuel_Pressure
- Coolant_Pressure
- Lub_Oil_Temperature
- Coolant_Temperature
🔧 Training Setup
- Models tried: DecisionTree, RandomForest, GradientBoosting
- Cross-validation: 3-fold
- Scoring metric: F1
- Preprocessing: Median imputation + StandardScaler
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