Feature Attribution Insights
Su-In discusses the challenges of feature correlation in biomedical datasets, particularly among genes. By employing ensemble models, she reveals how averaging feature attributions from multiple models can lead to more reliable insights, especially when dealing with highly correlated features. This approach enhances the robustness of feature attributions, paving the way for more accurate interpretations in biomedical research.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Explainable AI for Biology and Medicine with Su-In Lee - 642
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