$...$

# Apply SVM

from sklearn.svm import SVC

clf $=$ SVC$($C$=1\mathrm{.}0,$ # The smoothing parameter. Smaller values specify stronger regularization. If you have a lot of noisy observations you should decrease it$.$

kernel$=\text{'}$rbf$\text{'},$ # $\text{'}$rbf$\text{'},$ 'linear', 'poly', 'sigmoid'

degree$=3)$ # Degree of the polynomial kernel function $(\text{'}$poly$\text{'}).$

$...$Report for SVM