Table 6 Comparison between RF and KNN classifiers for the proposed method based on the GRMS dataset, showing the RF classifier excels in accuracy, precision, recall, and F1 score. This highlights RF’s effectiveness in MS detection when paired with Hybrid SHOSCA.

From: AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

Proposed hybrid SHOSCA

Acc

Prec

Rec

F1 score

KNN

88.8

85.9797

85.3333

85.5194

RF

91.2471

90.7619

86.3030

88.4382

  1. *Significant are in bold.
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