IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS

IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS

The advancement of technology has a profound impact on the field of education. Education plays a crucial role in enhancing quality of life, particularly in higher education, where one of the key parameters is student success. This study investigates the influence of feature selection on the performa...

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Main Authors: Firdaus Amruzain Satiranandi Wibowo, Heri Retnawati, Muhammad Lintang Damar Sakti, Asma Khoirunnisa, Angella Ananta Batubara, Miftah Okta Berlian, Zulfa Safina Ibrahim, Jailani Jailani, Sumaryanto Sumaryanto, Lantip Diat Prasojo
Format: Article
Language:English
Published: Universitas Pattimura 2025-07-01
Series:Barekeng
Subjects:
classification
decision tree
machine learning
random forest
selection feature
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17017
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17017

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