ANALYZING THE IMPACT OF FEATURE SELECTION USING INFORMATION GAIN FOR AIRLINES' CUSTOMER SATISFACTION

Feature selection has become a focus of research in many fields that deal with machine learning and data mining because it makes classifiers cost-effective, faster, and more accurate. In this paper, the impact of feature selection using filter methods such as Information Gain is shown. The impact of...

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Bibliographic Details

Published in:	Malaysian Journal of Computing
Main Authors:	Farah Aqilah Bohani, Farah Syazwani Mohamed Rashid, Yuzi Mahmud, Sitti Rachmawati Yahya
Format:	Article
Language:	English
Published:	UiTM Press 2024-04-01
Subjects:	airline customer satisfaction j48 naïve bayes feature selection
Online Access:	https://mjoc.uitm.edu.my/main/images/journal/vol9-1-2024/2_ANALYZING_THE_IMPACT_OF_FEATURE_SELECTION_USING_INFORMATION_GAIN_FOR_AIRLINES_CUSTOMER_SATISFACTION.pdf