Table 5 Comparison of the proposed SHOSCA algorithm with other hybrid Sea-horse Optimizer variations, emphasizing superiority in accuracy, precision, recall, and F1 score for MS detection. Despite a longer processing time, SHOSCA shows optimal performance in fitness metrics, underlining its effectiveness and reliability over other hybrids in enhancing diagnostic precision.
Feat size | Acc | Prec | Rec | F1 Score | CPU Time | Avr fit | Std fit | Best fit | Worst fit | |
|---|---|---|---|---|---|---|---|---|---|---|
Hybrid SHOSCA (Motor) | 9.52 | 84.6588 | 82.9226 | 76.6061 | 79.4621 | 3.5809 | 0.1237 | 0.0213 | 0.0817 | 0.1636 |
Hybrid SHOSCA (Breeding) | 4.36 | 82.7294 | 80.8739 | 73.2121 | 76.6171 | 4.9187 | 0.1212 | 0.0106 | 0.0933 | 0.1399 |
Proposed SHOSCA | 63.76 | 91.2471 | 90.7619 | 86.3030 | 88.4382 | 8.0064 | 0.1099 | 0.0105 | 0.0944 | 0.1295 |
