Execution time of AdaBoost with SVM base classifier

Question

I just made a Adaboost Classifier with these parameters,

1.n_estimators = 50

2.base_estimator = svc ( which is a support vector classifier )

3.learning_

Answer 1

A little late to answer your question, but I had a similar experience recently. In my case though, I realised I wasn't scaling the X before using SVM as the base estimator. Just make sure you scale the data from 0 to 1 (StandardScaler() from sklearn can be used) which is always required prior to using SVM.