Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness

arXiv:2402.19025v1 Announce Type: new
Abstract: The notion of robustness in XAI refers to the observed variations in the explanation of the prediction of a learned model with respect to changes in the input leading to that prediction. Intuitively, if the input being explained is modified slightly subtly enough so as to not change the prediction of the model too much, then we would expect that the explanation provided for that new input does not change much either. We argue that …

abstract arxiv combination cs.ai cs.lg explained notion prediction random robustness type xai