Achievable Minimally-Contrastive Counterfactual Explanations

Decision support systems based on machine learning models should be able to help users identify opportunities and threats. Popular model-agnostic explanation models can identify factors that support various predictions, answering questions such as “What factors affect sales?” or “Why did sales decli...

詳細記述

書誌詳細

主要な著者:	Hosein Barzekar, Susan McRoy
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-08-01
シリーズ:	Machine Learning and Knowledge Extraction
主題:	machine learning interpretability feasibility counterfactual and contrastive explanation
オンライン･アクセス:	https://www.mdpi.com/2504-4990/5/3/48
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