For some model the batch size has no impact on the relevancy as internally it's implemented with true, one sample at a time cython loop. For instance SGD[Classifier|Regressor] based models (Perceptron, passive aggressive) and discreete naive bayes do true online learning internally.

For MiniBatchKMeans the batch size has an impact on the convergence rate though.

Maybe this should be added as a note at the end of the section instead.