I am doing a text classification task(5000 essays evenly distributed by 10 labels). I explored LinearSVC
and got an accuracy of 80%. Now I guess whether accuracy could be raised by using ensemble
classifier with SVM
as base estimator?
However, I do not know how to employ an ensemble
classifier incorporating all the features? Please note that I do not want to combine the different features directly in a single vector.
Therefore, My first question: in order to improve the current accuracy, is it possible to use ensemble
classifier with svm
as base estimator?
My second question How to employ an ensemble
classifier incorporating all features?