Hello. I am working on a data set with 5 classes and one class takes up over half of the whole data set, and the SVM I trained is predicting every single data point in the test set to that majority class. How can I solve this problem? Thanks in advance.
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You can either duplicate the other lesser data til its balanced, or you can balance the data by throwing out the often-occurring data.
Try both and see which offers superior results.
-Harrison 7 years ago
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