plt contourf(xxyyzcmap=plt cm tab alpha= plt scatter( [: ] [: ] =ycmap=plt cm set plt xlabel('sepal length'plt ylabel('sepal width'plt xlim(xx min()xx max()plt title('support vector classifier with linear kernel'output text( 'support vector classifier with linear kernel'for creating svm classifier with rbf kernelwe can change the kernel to rbf as followssvc_classifier svm svc(kernel='rbf'gamma ='auto', =cfit(xyz svc_classifier predict(x_plotz reshape(xx shapeplt figure(figsize=( )plt subplot( plt contourf(xxyyzcmap=plt cm tab alpha= plt scatter( [: ] [: ] =ycmap=plt cm set plt xlabel('sepal length'plt ylabel('sepal width'plt xlim(xx min()xx max()plt title('support vector classifier with rbf kernel'