Replace credit-g or use other loss function

[mfeurer]

Very often, a classifier for our go-to dataset credit-g achieves an accuracy of 0.7, which is chance level. Therefore, I suggest to replace the dataset, or move imbalancy correction and metrics for imbalancy correction to earlier in the lecture.