Enhancing decision tree accuracy and compactness with improved categorical split and sampling techniques

Decision tree is one of the most popular algorithms in the domain of explainable AI. From its structure, it is simple to induce a set of decision rules which are totally understandable for a human. That is why there is currently research on improving decision or mapping other models into a tree. Dec...

Full description

Bibliographic Details
Main Author: Millerand, Gaëtan
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2020
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279454