A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification
Feature selection is a widespread preprocessing step in the data mining field. One of its purposes is to reduce the number of original dataset features to improve a predictive model’s performance. Despite the benefits of feature selection for the classification task, to the best of our kn...
| Published in: | IEEE Access |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9536739/ |