Classification Dataset which is linearly non separable I am trying to find a dataset which is linearly non-separable. I checked the Iris dataset and the UCI website says:


  The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable
  from the other 2; the latter are NOT linearly separable from each
  other 


Source: https://archive.ics.uci.edu/ml/datasets/iris)

However, I need a two class dataset which is linearly non-separable.

Please give some pointers.
In Python you can use the in-built make_moons and make_blobs functionalities of scikit-learn, changing the parameters accordingly.

The "titanic dataset" and "mpgcars" also contain non-linearly separable categories, in addition.