The following analytics tools help you evaluate model quality and understand how the model works:
- Model Quality Diagram — Simplifies the process of evaluating model quality.
- Feature Importance Matrix (FIM) — Shows how each feature impacts the model.
- Confusion Matrix — Shows the number of correct and incorrect predictions based on the validation data (for classification tasks only).