The effects of data balancing approaches: A case study

The effects of data balancing approaches: A case study

<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. In this article, we present a case study approach for investigating the effects of data balancing appr...

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Bibliographic Details
Main Author: Paul Mooijman (4453189) (author)
Other Authors: Cagatay Catal (6897842) (author), Bedir Tekinerdogan (6897839) (author), Arjen Lommen (471283) (author), Marco Blokland (12644072) (author)
Published: 2023
Subjects:
Engineering
Biomedical engineering
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Imbalanced dataset
Resampling
Supervised machine learning
Classification
Feature selection
Missing data
LC–MS
Hormone abuse detection
Cattle
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