Bug in the demo "OpenML Datasets: Banknote example".

The target feature is mistakenly included in the training data.

It appears in cell [4] below "Returned as numpy array, with meta-info (e.g. target feature, feature names,…)"

This bug happens as Y is copied to dat (which also changes X), therefore the model achieves a perfect prediction (100% accuracy).
