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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).