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.
引用格式
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. 检索时间: .
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R2019b
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- AI and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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1.0.0 |