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. 2018 Nov 1;2018:9704672. doi: 10.1155/2018/9704672

Table 10.

SVR and SVM parameters.

SVR parameters Values SVM parameters Values
Batch size 100 Batch size 100
C 1 c 1
Filter type Normalize training data Filter type Normalize training data
Kernel PolyKernel Epsilon 1.00E–12
RegSMOImproved optimizer Epsilon 1.0E–12 Calibrator Logistic
Epsilon Param. 0.001 Kernel PolyKernel
Tolerance 0.001 Tolerance Param. 0.001