 | 1 | initial version |
Hello,
The values of p, nu and coef0 parameters are not getting updated in SVM::trainAuto training. It is always zero. The parameters gamma and cvalue are getting changed. Is this normal? Are the best values of these parameters usually zero?
Also is there any way we can improve a two class classification other than making the parameter balanced = true in SVM::trainAuto training.
The project is forgery detection where we have to distinguish between forged and pristine images.
Hello,
The values of p, nu and coef0 parameters are not getting updated in SVM::trainAuto training. It is always zero. The parameters gamma and cvalue are getting changed. Is this normal? Are the best values of these parameters usually zero?
The kernel type used is RBF and svm type is C_SVC
Also is there any way we can improve a two class classification other than making the parameter balanced = true in SVM::trainAuto training.
The project is forgery detection where we have to distinguish between forged and pristine images.
