Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
C=C).fit(X, y) poly_svc = SVC(kernel='poly', degree=3, C=C).fit(X, y) sigmoid = SVC(kernel='sigmoid',C=C).fit(X, y) #....visualizing all the kernels plt.subplot(2,2,1) plot_svm_boundary(lin_svc,X,y) plt.subplot(2,2,2) plot_svm_boundary(rbf_svc,X,y) plt.subplot(2,2,3) plot_svm_boundary(poly_svc,X,y)