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I am developing a multi-class perceptron algorithm and was wondering if there are any datasets that could be used to test a multi-class perceptron? - A dataset where the classes are linearly separable and have at least 100 or more instances for training?

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Maybe the good old iris? It suits your needs and is good for start.

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    $\begingroup$ i think only one of the classes in the Iris data set is linearly separable. (From the OP's Question, i think he's after data sets w/ only linearly separable classes). $\endgroup$ – doug Jul 27 '10 at 9:52
  • $\begingroup$ @doug, good point, still I don't think that one can get any non-synthetic fully linearly separable problem. Nevertheless I'll wait for the OP's reaction. $\endgroup$ – user88 Jul 27 '10 at 10:13
  • $\begingroup$ yes - only one of the classes in the iris data set is linearly separable - so, I've now started experimenting with algorithmically generated datasets. $\endgroup$ – KungPaoChicken Jul 27 '10 at 23:22

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