Feature Selection in Classification using Genetic Algorithm
Feature Selection (reduction) in data-mining using Genetic Algorithm
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Feature Selection (reduction) in data-mining using the Genetic Algorithm to get the highest accuracy in classification.
In this project, 4 classifiers can be used: Naive Bayes, k-Nearest Neighbors, Decision Tree, and MLP neural Network. You can also replace your own classifier our your own dataset.
Cite As
Majid Farzaneh (2026). Feature Selection in Classification using Genetic Algorithm (https://uk.mathworks.com/matlabcentral/fileexchange/74105-feature-selection-in-classification-using-genetic-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (61.7 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
