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Check out the documentation for more information.
Cloud Resource Scaling Model
This model predicts scaling decisions (no_action, scale_up, scale_down) based on cloud workload metrics.
Features
- CPU Usage
- Memory Usage
- Throughput
- Utilization
- Latency
Model
- Random Forest Classifier
- Trained with SMOTE-balanced dataset
Performance
- Accuracy: ~99.5%
- Strong performance across all classes
Usage
Load model using joblib and ensure feature preprocessing matches training pipeline.
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