Assessing feature selection method performance with class imbalance data
Identifying the most informative features is a crucial step in feature selection. This paper focuses primarily on wrapper feature selection methods designed to detect important features with F1-score as the target metric. As an initial step, most wrapper methods order features according to importanc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000852 |