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| --- |
| license: mit |
| tags: |
| - predictive-maintenance |
| - engine-health |
| - tabular-classification |
| - logistic-regression |
| --- |
| |
| # Engine Health Predictive Maintenance Model |
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| This model predicts whether an engine requires maintenance based on sensor readings. |
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| ## Model |
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| Best model: Logistic Regression |
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| ## Target |
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| - 0: Normal engine condition |
| - 1: Faulty / maintenance required |
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| ## Business Metric |
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| Recall was prioritized because missing unhealthy engines can cause breakdowns, downtime, and repair cost. |
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| ## Evaluation Results |
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| - Accuracy: 0.6415 |
| - Precision: 0.5111 |
| - Recall: 0.6886 |
| - F1-Score: 0.5867 |
| - ROC-AUC: 0.7002 |
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