Predictive Maintenance – Random Forest Model
This repository contains a tuned Random Forest classification model developed to predict engine maintenance requirements based on sensor data.
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
Use Case
The model supports predictive maintenance by identifying engines that require maintenance before failure occurs.