Feature selection convergence time comparison of various binary metaheuristic algorithms. حسب Amal H. Alharbi (21755906)

"…<p>Feature selection convergence time comparison of various binary metaheuristic algorithms.…"

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

"…<p>Number of features selected for IRBMO vs. other binary algorithms.…"

Feature selection ratio results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

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The result of the accuracy of tested algorithms. حسب Nebojsa Bacanin (13932723)

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Bar chart comparing the average fitness values of various feature selection algorithms. حسب Doaa Sami Khafaga (21463870)

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. حسب Nebojsa Bacanin (13932723)

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Best fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Mean fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

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Numerical example for determining the optimal number of clusters in Algorithm 2. حسب Yi Wei Tye (22208735)

Initial parameter settings for the optimization algorithms. حسب Doaa Sami Khafaga (21463870)

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Standard deviation of fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Box plots with swarm overlays for six feature selection algorithms, annotated with mean and standard deviation values. حسب Doaa Sami Khafaga (21463870)

Control parameter settings for comparative feature selection methods. حسب Nebojsa Bacanin (13932723)

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