Table 5 The symbols and parameters used in the mathematical theory of the SVC algorithm

w

The normal direction of the hyperplane

b

The bias of the hyperplane

ξ_i

The positive slack variable

C

The user-defined parameter to assign penalty to errors

e

The vector of all ones

α_i

The Lagrangian multipliers

K(x_i,x_j)

The kernel function

γ

The tuning parameter (called ‘gamma’) of the RBF kernel, must be greater than 0