The following are useful scikit-learn functions:
sklearn.cross_validation.train_test_split(*arrays, **options): This function splits arrays into random train and test setssklearn.metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None): This function returns the accuracy classification scoresklearn.metrics.euclidean_distances (X, Y=None, Y_norm_squared=None, squared=False): This function computes the distance matrix for the input data
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