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

The particular data set you need will depend highly on your choice of kernel function, so It seems the easiest method is simply creating a toy data set yourself.

Some helpful ideas:

• Concentric circles
• Spiral-shaped classes
• Nested banana-shaped classes

If you just want a random data set which is not linearly separable, may I suggest the Iris dataset? It is a multivariate data set where at least a couple of the classes in question are not linearly separable.

Hope this helps!