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SYSTEMS AND METHODS FOR COUNTERFACTUAL EXPLANATION IN MACHINE LEARNING MODELS
SYSTEMS AND METHODS FOR COUNTERFACTUAL EXPLANATION IN MACHINE LEARNING MODELS
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机译:机器学习模型中反事实解释的系统和方法
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摘要
Embodiments described herein provide a two-stage model-agnostic approach for generating counterfactual explanation via counterfactual feature selection and counterfactual feature optimization. Given a query instance, counterfactual feature selection picks a subset of feature columns and values that can potentially change the prediction and then counterfactual feature optimization determines the best feature value for the selected feature as a counterfactual example.
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