Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
= np.unique(y_train) from sklearn.metrics import classification_report print(classification_report(y_test, y_te_pr, target_names=labels)) precision recall f1-score support good 0.80 0.77 0.79 176 poor 0.73 0.76 0.75 144 accuracy 0.77 320 macro avg 0.77 0.77 0.77 320 weighted avg 0.77 0.77 0.77 320