Feature Selection in Classification using Genetic Algorithm
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 (2024). Feature Selection in Classification using Genetic Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/74105-feature-selection-in-classification-using-genetic-algorithm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |