Open Access
Avoiding Overfitting dan Overlapping in Handling Class Imbalanced Using Hybrid Approach with Smoothed Bootstrap Resampling and Feature Selection
Author(s) -
Hartono Hartono,
Erianto Ongko
Publication year - 2022
Publication title -
joiv : international journal on informatics visualization
Language(s) - English
Resource type - Journals
eISSN - 2549-9904
pISSN - 2549-9610
DOI - 10.30630/joiv.6.2.985
Subject(s) - overfitting , oversampling , resampling , feature selection , artificial intelligence , computer science , classifier (uml) , preprocessor , pattern recognition (psychology) , feature (linguistics) , machine learning , selection (genetic algorithm) , artificial neural network , bandwidth (computing) , linguistics , philosophy , computer network