Model Interpretability Index
Score
This index assesses how understandable the model’s decisions or predictions are to humans. High interpretability is crucial for trust and transparency, especially in sensitive applications.
Formula
Interpretability Assessment Methodology
Example
A model that provides clear explanations for its predictions, such as decision trees, might score 85/100 on interpretability.