Precision of BDMO and other approaches.

Precision of BDMO and other approaches.</p

Average feature selected by BDMO and other approaches.

Average feature selected by BDMO and other approaches.</p

Standard deviation of fitness values.

Standard deviation of fitness values.</p

Mean fitness values.

Mean fitness values.</p

The optimization procedures of DMO [15].

The optimization procedures of DMO [15].</p

Comparison between the proposed BDMO and the state-of-the-art methods based on accuracy validation on all selected high-dimensional feature selection datasets.

Comparison between the proposed BDMO and the state-of-the-art methods based on accuracy validation on all selected high-dimensional feature selection datasets.</p

Illustration of the convergence curves for the three most prominent approaches employed in this study, namely BDMO, BPSO, and SBWOA to solve all the selected high-dimensional feature selection datasets.

Illustration of the convergence curves for the three most prominent approaches employed in this study, namely BDMO, BPSO, and SBWOA to solve all the selected high-dimensional feature selection datasets.</p

Experiment’s parameter setting.

Experiment’s parameter setting.</p

Results of Wilcoxon sign test on validation accuracy.

Results of Wilcoxon sign test on validation accuracy.</p

Dataset and their properties.

Dataset and their properties.</p