Explainability
Explanation Target
The aspect of model behavior or data that the technique reveals
6 subcategories • 44 techniques
Causal Pathways
Shows how effects propagate through the model
Data Patterns
Uncovers underlying structures and relationships in data
Decision Boundaries
Shows how the model separates different outcomes
Feature Importance
Identifies which inputs matter most for predictions
Internal Mechanisms
Reveals how the model processes information internally
Prediction Confidence
Quantifies how certain/uncertain the model is