For an unbalanced dataset annotated by human annotators in which each item is assigned to different classes, what is the argument for and against using any of One-vs-One vs One-vs-ALL SVM classification approaches?
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So, what do you think? – Daniel Nov 09 '14 at 18:27
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1It's not a homework question. It's a design choice for a research problem and I have used one-vs-all but I have no argument in favor of any of these approaches. May be I posted it as a question that sounded like a homework. – CentAu Nov 10 '14 at 00:15