ExhauFS: exhaustive search-based feature selection for classification and survival regression
Feature selection is one of the main techniques used to prevent overfitting in machine learning applications. The most straightforward approach for feature selection is an exhaustive search: one can go over all possible feature combinations and pick up the model with the highest accuracy. This metho...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |