Please include the plots of the example here and a paragraph explaining that the computation overhead of the naive bayes can be mitigated by increasing the batch size.

Futhermore it would be interesting to add a comment to explain that while `Perceptron` is very sensitive to samples with bad labels even after many examples, the learning rate schedules of `SGDClassifier` and `PassiveAggressiveClassifier` make them even more robust to late bad labels.