Support Vector Machine on Big Data
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I have n=1,000,000 data points with m=10 to m=60 attributes, i.e., m=10 to m=60 different variables. And I have a 1D output. I want to use support vector machine for classification. How would I do it so that it wouldn't take long for fitting the model.
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