22557e7132
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631 B
631 B
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
- Authors: Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
- Year: 2016
- Summary: This paper introduces LIME (Local Interpretable Model-agnostic Explanations). The key idea is to explain the prediction of any complex, black-box classifier by learning a simpler, interpretable model (e.g., a linear model) in the local neighborhood of the prediction. It provides intuitive, human-understandable explanations for individual predictions, answering the question of why a specific decision was made.
- Link: https://arxiv.org/abs/1602.04938