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Predictive Maintenance Model: AdaBoost
This repository hosts the trained machine learning model for predicting engine condition as part of the Predictive Maintenance project.
Model Details
- Model Type: AdaBoost
- Objective: Binary Classification (Normal/Faulty Engine)
- Training Data: Derived from the PredictiveMaintenanceDataset on Hugging Face Hub (sammysri12/PredictiveMaintenanceDataset)
- Preprocessing: Data cleaning (outlier capping) and feature engineering were applied.
- Tuning Metric: F1-Score (due to class imbalance)
Evaluation Metrics (on Test Set)
- F1-Score: 0.7733
- Accuracy: 0.6304
- Precision: 0.6304
- Recall: 1.0000
- ROC-AUC: 0.6443
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