Tools we use to evaluate a model’s performance.
Metrics
- Model Accuracy
- Confusion Matrix
- Model Precision
- Model Recall
- Area Under the Receiver Operating Characteristic
- Mean Squared Error
- Predictive Power
- Inference Time
- Model Transparency
- Model Reliability
- Model Scalability