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I'm looking for a dataset (preferably with a story, at any rate a real dataset) where a SVM with a linear kernel performs well...in other words i'm looking for a dataset where the class boundary is likely to be linear. Ideally, there should be between 10-20 continuous variables and not too many discrete ones....

It's not really important to me how many classes there are (as long as it's a classification problem). Also, it can't be the iris dataset.

Any proposals?

P.S.: @modo: i don't think this is a question about obtaining a particular dataset: it's more that i have not read svm/machine learning papers since i was a master student so i'm not familiar with some comon good examples...i'm just sure they exist.

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How about this one http://archive.ics.uci.edu/ml/datasets/URL+Reputation ? It seems to be exactly what you are looking for.

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    $\begingroup$ Attribute Characteristics: Integer, Real $\endgroup$ – Diego Oct 9 '16 at 15:15
  • $\begingroup$ sorry I had misread this, $\endgroup$ – user603 Oct 9 '16 at 16:03

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