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. 2020 May 15;62(3):273–282. doi: 10.4103/psychiatry.IndianJPsychiatry_91_20

Supplementary Table 1.

Different types of support vector machine classifier and the parameters used in this study

Classification method Kernel type Description
Linear SVM Linear kernel graphic file with name IJPsy-62-273-g003.jpg
Quadratic SVM Polynomial kernel graphic file with name IJPsy-62-273-g004.jpg
Cubic SVM Polynomial kernel graphic file with name IJPsy-62-273-g005.jpg
Fine Gaussian SVM Gaussian radial basis function graphic file with name IJPsy-62-273-g006.jpg
Medium Gaussian SVM Gaussian radial basis function graphic file with name IJPsy-62-273-g007.jpg
Course Gaussian SVM Gaussian radial basis function graphic file with name IJPsy-62-273-g008.jpg

f is the kernel function, xi and xj are the input feature vectors and σ is kernel parameter. SVM – Support vector machine