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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Main Authors: | , , , |
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Format: | Proceedings |
Language: | English English |
Published: |
Faculty of Science and Natural Resources
2020
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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 https://eprints.ums.edu.my/id/eprint/21431/ https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf |
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Institution: | Universiti Malaysia Sabah |
Language: | English English |
Internet
https://eprints.ums.edu.my/id/eprint/21431/1/Comparison%20of%20imbalanced%20data%20treatments.pdfhttps://eprints.ums.edu.my/id/eprint/21431/2/Comparison%20of%20imbalanced%20data%20treatments1.pdf
https://eprints.ums.edu.my/id/eprint/21431/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf