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Best way to handle unbalanced multiclass dataset with SVM
I'm trying to build a prediction model with SVMs on fairly unbalanced data. My labels/output have three classes, positive, neutral and negative. I would say the positive example makes about 10 - 20% ...
Jan 11 '12 at 23:21
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