Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification

Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification

This study aims to provide a method that will assist decision makers in managing large datasets, eliminating the decision risk and highlighting significant subsets of data with certain weight. Thus, binary decision tree (BDT) and genetic algorithm (GA) methods are combined using a wrapping technique...

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Bibliographic Details
Main Authors: Dimitris C. Gkikas, Prokopis K. Theodoridis, Theodoros Theodoridis, Marios C. Gkikas
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Informatics
Subjects:
feature selection
decision trees
genetic algorithm
GA wrapper
supervised learning
machine learning
Online Access:https://www.mdpi.com/2227-9709/10/3/63

Internet

https://www.mdpi.com/2227-9709/10/3/63

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