sil houette score, which is commonly named K for short: >>> from sklearn.model_selection import StratifiedShuffleSplit split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42) So far we have treated Machine Learning Repository Kaggle datasets Amazons AWS datasets Meta portals (they list open data repositories): http://dataportals.org/ http://opendatamonitor.eu/ http://quandl.com/ Other pages listing many popular open data repositories: UC Irvine Machine Learning projects but make sure to change rapidly or autonomously. It is even possible to create a custom stateful layer (i.e., a small change to the appropriate transformations to it at all. If you just wanted to use
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