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README.md

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+# Engine Fault Detection Model
+
+## Model Overview
+This model predicts engine condition (Active / Faulty) using sensor data.
+
+## Algorithm
+Gradiant Boosting Classifier
+
+## Training Details
+- Objective: Maximize Recall
+- Class Imbalance: Handled via class weights / scale_pos_weight
+- Outlier Treatment: Coolant temperature capped using training data thresholds
+
+## Dataset
+- Source: ShanRaja/Data
+- Splits: Train / Validation / Test
+
+## Metrics (Validation)
+- Recall: 0.98
+- Precision: 0.64
+- F1-score: 0.78
+
+## Intended Use
+Early fault detection to minimize false negatives.