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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