Classification with Machine Learning Algorithms after Hybrid Feature Selection in Imbalanced Data Sets
The efficacy of machine learning algorithms significantly depends on the adequacy and relevance of features in the data set. Hence, feature selection precedes the classification process. In this study, a hybrid feature selection approach, integrating filter and wrapper methods was employed. This app...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wrocław University of Science and Technology
2024-01-01
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| Series: | Operations Research and Decisions |
| Online Access: | https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no4_10.pdf |
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