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    Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

    Published 2025-01-01
    “…The algorithm was compared to eight well-known feature selection methods and its performance was evaluated using a variety of evaluation metrics on 16 high-dimensional datasets from the Arizona State University feature selection library. and the performance of the proposed algorithm was evaluated through feature subset size, classification accuracy, fitness value, and F1-score. …”
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