output text( 'support vector classifier with rbf kernel'we put the value of gamma to 'autobut you can provide its value between to also pros and cons of svm classifiers pros of svm classifiers svm classifiers offers great accuracy and work well with high dimensional space svm classifiers basically use subset of training points hence in result uses very less memory cons of svm classifiers they have high training time hence in practice not suitable for large datasets another disadvantage is that svm classifiers do not work well with overlapping classes