Machine Learning, Support Vector Machine, Support Vector Classifier, Data Scie, Svm.
the result: Not too bad but as you can see the dataset is not linearly separable, so we can achieve better results using kernel SVM. Here I apply SVC with RBF kernel. from sklearn.svm import SVC classifier_1 = SVC(kernel = 'rbf') classifier_1.fit(X_train, y_train) y_pred_1 =