In the warning just before Model evaluation using cross-validation
Working with non-scaled data will potentially force the algorithm to iterate more as we showed in the example above. There is also catastrophic scenario where the number of required iterations are more than the maximum number of iterations allowed by the predictor (controlled by the max_iter) parameter. Therefore, before to increase max_iter, make sure that the data are well scaled.
