A-PETE: Adaptive Prototype Explanations of Tree Ensembles

arXiv:2405.21036v1 Announce Type: new
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 …

abstract algorithm arxiv classifiers context cs.lg machine machine learning machine learning models prototype through tree type unique