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Table 1.

Summary of the considered state-of-the-art works.

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Table 2.

Descriptions of dataset(s) employed.

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Fig 1.

Social hierarchy of grey wolves.

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Fig 2.

Position of wolves for encircling the prey.

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Fig 3.

Proposed work block diagram.

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Fig 4.

Recorded accuracies in % for the hybrid ML approaches on WDBC dataset.

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Fig 5.

Recorded MCRs in % for the hybrid ML approaches on the WDBC dataset.

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Fig 6.

Recorded precisions in % for the hybrid ML approaches on the WDBC dataset.

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Fig 7.

Recorded sensitivities in % for the hybrid ML approaches on the WDBC dataset.

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Fig 8.

Recorded F1-scores in % for the hybrid ML approaches on WDBC dataset.

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Fig 9.

Recorded specificities in % for the hybrid ML approaches on the WDBC dataset.

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Fig 10.

Recorded FNRs in % for the hybrid ML approaches on the WDBC dataset.

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Fig 11.

Recorded FPRs in % for the hybrid ML approaches on the WDBC dataset.

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Fig 12.

Recorded MCCs in % for the hybrid ML approaches on the WDBC dataset.

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Fig 13.

Recorded balanced accuracies in % for the hybrid ML approaches on the WDBC dataset.

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Fig 14.

ROC curve with AUC value obtained employing the hybrid approach (RFE and GWO along with MLP) on WDBC dataset.

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Table 3.

Observed results employing various hybrid ML approaches on the WDBC dataset.

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Table 3 Expand

Fig 15.

Recorded accuracies in % for the hybrid ML approaches on the WPBC dataset.

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Fig 16.

Recorded MCRs in % for the hybrid ML approaches on the WPBC dataset.

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Fig 17.

Recorded precisions in % for the hybrid ML approaches on the WPBC dataset.

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Fig 18.

Recorded sensitivities in % for the hybrid ML approaches on the WPBC dataset.

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Fig 18 Expand

Fig 19.

Recorded F1-scores in % for the hybrid ML approaches on the WPBC dataset.

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Fig 19 Expand

Fig 20.

Recorded specificities in % for the hybrid ML approaches on the WPBC dataset.

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Fig 20 Expand

Fig 21.

Recorded FNRs in % for the hybrid ML approaches on the WPBC dataset.

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Fig 21 Expand

Fig 22.

Recorded FPRs in % for the hybrid ML approaches on the WPBC dataset.

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Fig 22 Expand

Fig 23.

Recorded MCCs in % for the hybrid ML approaches on the WPBC dataset.

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Fig 23 Expand

Fig 24.

Recorded balanced accuracies in % for the hybrid ML approaches on the WPBC dataset.

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Fig 24 Expand

Fig 25.

ROC curve with AUC value obtained employing the hybrid approach (RFE and GWO along with MLP) on WPBC dataset.

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Fig 25 Expand

Table 4.

Observed results employing various hybrid ML approaches on the WPBC dataset.

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Table 4 Expand

Table 5.

Comparative analysis of the proposed hybrid approach to the considered state-of-the-art works based on WDBC dataset.

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Table 6.

Comparative analysis of the proposed hybrid approach to the considered state-of-the-art works based on wpbc dataset.

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Table 6 Expand