Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data
Feature selection is a crucial step in the data preprocessing stage of machine learning. It involves selecting a subset of relevant features for use in model construction. Feature selection helps in improving model performance by reducing overfitting, enhancing generalization, and decreasing computa...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/4/220 |
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