Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
now examine the rbf kernel and select the scale parameter gamma and the penalty C using cross-validation. from sklearn.model_selection import GridSearchCV grid = { 'kernel': ['rbf'], 'gamma': [0.1, 1.0, 10, 100], 'C': [0.5, 1.0, 10.0, 20.0, 50.0, 100.0, 1000.0], 'random_state' : [21] } svm_cv_r =