Feature Selection in Classification using Genetic Algorithm
Versione 1.0.0 (61,7 KB) da
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.
Cita come
Majid Farzaneh (2026). Feature Selection in Classification using Genetic Algorithm (https://it.mathworks.com/matlabcentral/fileexchange/74105-feature-selection-in-classification-using-genetic-algorithm), MATLAB Central File Exchange. Recuperato .
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R2019b
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0.0 |
