am trying to do classification using one class svm. but I want to know how can I make it working for multi-class classification?
How to make one_class svm working for multi-class classification?
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SVM is basically a binary classifier, i.e build a separator, could be a line or a plane in high dimensions (very high, see kernel functions)
so to use it as a multi classes classifier you will have to train it pair-wise, meaning if you got n classes so you'll have to run it n times, each time to classify between
class-nandnot class-nfor multi-classification, you will have to run it n times on the data, in the best scenario n-1 runs will return
not class-nand 1 will returnclass-nfor most cases you'll have to choose the classification based on some confidence value attached to it