| # Predictive Maintenance – Random Forest Model |
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| This repository contains a tuned Random Forest classification model developed to predict engine maintenance requirements based on sensor data. |
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| ## Model Details |
| - Algorithm: Random Forest Classifier |
| - Task: Binary classification (Engine Condition) |
| - Evaluation Metrics: Accuracy, Precision, Recall, F1-score |
| - Selection Criterion: Highest F1-score and Recall |
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| ## Use Case |
| The model supports predictive maintenance by identifying engines that require maintenance before failure occurs. |
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