Datasets to test Nonlinear SVM

Question

I\'m implementing a nonlinear SVM and I want to test my implementation on a simple not linearly separable data. Google didn\'t help me find what I want. Can you please advise me

Answer 1

If you program in Python, you can use a few functions in the package of sklearn.datasets.samples_generator to manully generate nested moon-shape data set, concentric circle data set etc. Here is a page of plots of these data sets.

And if you don't want to generate data set manually, you can refer to this website, where in the seciton of "shape sets", you can download these data set and test on them directly.