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README.md
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# Engine Predictive Maintenance Model
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## Model
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Sklearn pipeline (StandardScaler + LOGREG) for engine predictive maintenance.
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## Performance
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- F1 Score: 0.7657
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## Features
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- engine_rpm
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- fuel_pressure
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- coolant_pressure
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- lub_oil_temperature
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- coolant_temperature
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## Target
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- engine_condition (0=Normal, 1=
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## Usage
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```python
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import joblib
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model = joblib.load('best_model.joblib')
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prediction = model.predict(X)
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```
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# Engine Predictive Maintenance Model
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## Best Model: LOGREG
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- F1 Score: 0.7657
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## Features
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- engine_rpm, lub_oil_pressure, fuel_pressure
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- coolant_pressure, lub_oil_temperature, coolant_temperature
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## Target
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- engine_condition (0=Normal, 1=Maintenance Needed)
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