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arXiv · 2405.21036

A-PETE: Adaptive Prototype Explanations of Tree Ensembles

Jacek Karolczak·Jerzy Stefanowski
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Abstract

The need for interpreting machine learning models is addressed through prototype explanations within the context of tree ensembles. An algorithm named Adaptive Prototype Explanations of Tree Ensembles (A-PETE) is proposed to automatise the selection of prototypes for these classifiers. Its unique characteristics is using a specialised distance measure and a modified k-medoid approach. Experiments demonstrated its competitive predictive accuracy with respect to earlier explanation algorithms. It also provides a a sufficient number of prototypes for the purpose of interpreting the random forest classifier.

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Jacek Karolczak, Jerzy Stefanowski. 2024-05-31. A-PETE: Adaptive Prototype Explanations of Tree Ensembles. https://arxiv.org/abs/2405.21036

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