Supplementary Table 1.
Classification method | Kernel type | Description |
---|---|---|
Linear SVM | Linear kernel | |
Quadratic SVM | Polynomial kernel | |
Cubic SVM | Polynomial kernel | |
Fine Gaussian SVM | Gaussian radial basis function | |
Medium Gaussian SVM | Gaussian radial basis function | |
Course Gaussian SVM | Gaussian radial basis function |
f is the kernel function, xi and xj are the input feature vectors and σ is kernel parameter. SVM – Support vector machine