What makes unsupervised learning "unsupervised" Because there is no any target variable because there is no any data data is very limited in terms of size and dimension Because there is no any supervisor (as human) in the field to be consulted Order the following lines of code to make meaningful steps + sum(preds==y_train), len(y_train), sum(preds==y_train) / len(y_train) preds=clf.predict(X_train)