A Knowledge-Guided Competitive Co-Evolutionary Algorithm for Feature Selection
Junyi Zhou,
Haowen Zheng,
Shaole Li
et al.
Abstract:In real-world applications, feature selection is crucial for enhancing the performance of data science and machine learning models. Typically, feature selection is a complex combinatorial optimization problem and a multi-objective optimization problem. Its primary goals are to reduce the dimensionality of the dataset and enhance the performance of machine learning algorithms. The selection of features in high-dimensional datasets is challenging due to the intricate relationships between features, which pose si… Show more
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