| # 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 | |