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README.md

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+---
+license: mit
+tags:
+- tabular-classification
+- predictive-maintenance
+---
+
+# Predictive Maintenance – Best Model
+
+## Overview
+This model predicts whether an engine requires maintenance using sensor readings.
+
+## Training Data
+Loaded from Hugging Face dataset: `SabarnaDeb/Capstone_PredictiveMaintenance` (train.csv / test.csv).
+
+## Best Model
+- Algorithm: **AdaBoost**
+- Best CV F1: **0.7745**
+- Best Parameters: **{'learning_rate': 0.05, 'n_estimators': 100}**
+
+## Test Performance
+- Accuracy: 0.6304
+- Precision: 0.6304
+- Recall: 1.0000
+- F1: 0.7733

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f53e55eb52c6a11521da67a0f7810e1f677d25a916c7736194b54a86627ab125
+size 65764

requirements.txt

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+scikit-learn
+pandas
+joblib