Model Interpretability
Model interpretability provides insights into model decisions using local and global explanation techniques. Methods include feature attributions, surrogate models, partial dependence plots, and concept-based interpretability.
Model interpretability provides insights into model decisions using local and global explanation techniques. Methods include feature attributions, surrogate models, partial dependence plots, and concept-based interpretability.