What happens if I use fitcecoc for a two-class classification, and how is it different from fitcsvm in such a scenario?
I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better?I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better? I have been using SVM-ECOC (i.e. fitcecoc) in classifying two different orientations in my data, and it;s results are much better than when I use fitcsvm in terms of decoding accuracy. I am wondering how are these two functions essentially different when dealing with such a binary classification, and why does fitcecoc performs better? classification, fitcecoc MATLAB Answers — New Questions