Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
the other hand, lower values of AUC indicates that when sensitivity is high, specificity is low and vide versa. from sklearn import metrics y_te_prob1 = lsvc_model.predict_proba(X_te_scaled)[::,1] fpr1, tpr1, _ = metrics.roc_curve(y_test, y_te_prob1, pos_label = 'poor') auc1 =