A Random PRIM Based Algorithm for Interpretable Classification and Advanced Subgroup Discovery

Machine-learning algorithms have made significant strides, achieving high accuracy in many applications. However, traditional models often need large datasets, as they typically peel substantial portions of the data in each iteration, complicating the development of a classifier without sufficient d...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Rym Nassih, Abdelaziz Berrado
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	classification subgroup discovery patient rule-induction method metarules interpretability
Online Access:	https://www.mdpi.com/1999-4893/17/12/565