Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles

Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles

This study introduces a greedy algorithm for deriving decision rules from decision tree ensembles, targeting enhanced interpretability and generalization in distributed data environments. Decision rules, known for their transparency, provide an accessible method for knowledge extraction from data, f...

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Bibliographic Details
Main Authors: Evans Teiko Tetteh, Beata Zielosko
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Entropy
Subjects:
decision trees
decision rules
greedy algorithm
length
ensemble
Online Access:https://www.mdpi.com/1099-4300/27/1/35
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