By realistic I mean you can scale up your dataset and still keep its properties, like if you want to test ``SVM`` on ``iris`` but there are only 150 linearly separable samples, you can scale it with a multiplier of 1mil. The resulting dataset is still linearly separable, if that is important for the algorithm you're testing.

I can clarify or just remove this statement.