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GARS: Genetic algorithm for the identification of a robust subset of features in high-dimensional datasets

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Feature selection is a crucial step in machine learning analysis. Currently, many feature selection approaches do not ensure satisfying results, in terms of accuracy and computational time, when the amount of data is huge, such as in ‘Omics’ datasets. |