How does the addition of XAI techniques such as SHAP or LIME impact model interpretability in complex machine learning models like deep neural networks?
Manuel G Forero
The incorporation of XAI techniques such as SHAP and LIME enhances the interpretability of complex machine learning models by providing both local and global explanations and offering information about the importance of features. On the other hand, in the case of image classification, other techniques like Grad-CAM also provide information about the regions of the image that a CNN uses to determine which class it belongs to.
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