Machine Learning, Support Vector Machine, Support Vector Classifier, Data Scie, Svm.
classifier_1.predict(X_test) As we can see, the results are amazing. Let’s measure the performance with concrete metrics: confusion matrix and accuracy score: from sklearn.metrics import confusion_matrix, accuracy_score import seaborn as sns cm = confusion_matrix(y_test, y_pred_1)