CatBoost Optimization Using Recursive Feature Elimination

CatBoost Optimization Using Recursive Feature Elimination

CatBoost is a powerful machine learning algorithm capable of classification and regression application. There are many studies focusing on its application but are still lacking on how to enhance its performance, especially when using RFE as a feature selection. This study examines the CatBoost optim...

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Bibliographic Details
Main Authors: Agus Hadianto, Wiranto Herry Utomo
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2024-08-01
Series:JOIN: Jurnal Online Informatika
Subjects:
catboost
feature selection
rfe
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/1324
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