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README.md

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-# Engine Failure Prediction Model
-Champion: AdaBoost (F2=0.886, Recall=0.975)
-Usage: Load scaler + model, scale inputs, predict.
+---
+tags:
+- predictive-maintenance
+- sklearn
+- AdaBoost
+metrics:
+- f2_score: 0.8859545588669224
+---
+# 🚛 Engine Failure Prediction Model
+
+## 🏆 Champion Model: **AdaBoost**
+
+This model was automatically selected from a pool of candidates based on the **F2-Score**, which prioritizes Recall (minimizing false negatives) to ensure safety.
+
+### 📊 Performance Metrics
+| Metric | Score | Explanation |
+| :--- | :--- | :--- |
+| **F2-Score** | **0.8860** | Primary selection metric (Recall-weighted). |
+| **Recall** | **0.9752** | Ability to catch failures. |
+| **Accuracy** | **0.6511** | Overall correctness. |
+
+### 🔍 Model Leaderboard
+![Model Comparison](model_comparison.png)
+
+### ⚙️ Pipeline Details
+- **Training Date:** 2026-02-13 08:00:46.555953
+- **Scaler:** Standard Scaler (Bundled)
+- **Deployment:** [Live App Link](https://huggingface.co/spaces/iStillWaters/Engine-Reliability-Dashboard)