Comparison of imbalanced data treatments: a case study on cleft lip and palate data

This study was conducted to investigate if the resampling and the penalized approaches of balancing a small and imbalance data would improve the classification model produces by random forests learning algorithm on a small and imbalanced Cleft Lip and Palate (CLP) patients’ dataset. Comparison betwe...

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Bibliographic Details
Main Authors: Zaturrawiah Ali Omar, Chin, Su Na, Siti Rahayu Mohd. Hashim, Norhafiza Hamzah
Format: Proceedings
Language:English
English
Published: Faculty of Science and Natural Resources 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/21431/1/Comparison%20of%20imbalanced%20data%20treatments.pdf
https://eprints.ums.edu.my/id/eprint/21431/2/Comparison%20of%20imbalanced%20data%20treatments1.pdf