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Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals
The explainability of black-box machine learning algorithms, commonly known as Explainable Artificial Intelligence (XAI), has become crucial for financial and other regulated industrial applications due to regulatory requirements and the need for tra
Externí odkaz:
http://arxiv.org/abs/2408.06679
