Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
lsvc_model.predict(X_te_scaled) labels = 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 0.72 0.76 176 poor 0.70 0.78 0.73 144 accuracy 0.75 320 macro avg 0.75 0.75