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Table 2 List of various parameters used with SVM on the dataset

From: Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach

Kernels Linear, radial basis function, polynomial, sigmoid
SVM type C − SVM, ν − SVM
Degree of polynomial function 3, 4, 5, 6, 7
C 2, 4, 10, 12, 15, 20 (N/A in ν − SVM)
Gamma (γ) 0.001, 0.003, 0.01, 0.03, 0.05, 0.1
Coefficient 0.01, 0.1, 1, 5, 10, 15, 20
Nu (ν) 0.2, 0.29, 0.4, 0.5