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Chapter

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Title

A-PETE: Adaptive Prototype Explanations of Tree Ensembles

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • machine learning
  • explainable AI
  • prototypes
  • random forest
Abstract

EN 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 sufficient number of prototypes for the purpose of interpreting the random forest classifier.

Pages (from - to)

2 - 8

URL

https://pages.mini.pw.edu.pl/~estatic/pliki/PP-RAI_2024_proceedings.pdf#page=21

Book

Progress in Polish Artificial Intelligence Research 5 : Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI'2024), 18-20.04.2024, Warsaw, Poland

Presented on

5th Polish Conference on Artificial Intelligence PP-RAI'2024, 18-20.04.2024

License type

copyright

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

20

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