Table 1 Configuration settings of the SHOSCA algorithm and other selected MAs, highlighting essential parameters such as the number of initial solutions, total iterations, code runs, and specific values for the k-value in KNN and other algorithmic constants.

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

Parameter

Value

Number of initial solutions

10

Total iteration (T)

50

Number of code runs

25

k-value in KNN

5

Threshold value

0.5

Constant coefficient (l) of SHO

0.05

logarithmic spiral constants (u & v) of SHO

0.05

Levy component (\(\beta\)) of SHO

1.5

Parameter of SCA (a)

2

Parameter of WOA (b)

1