Feature Selection in Classification using Genetic Algorithm
Version 1.0.0 (61,7 KB) von
Majid Farzaneh
Feature Selection (reduction) in data-mining 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.
Zitieren als
Majid Farzaneh (2025). 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. Abgerufen.
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Erstellt mit
R2019b
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- AI and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0 |