sklearn.metrics.r2_score(y_true, y_pred, sample_weight=None, multioutput=None)
sklearn.metrics.label_ranking_loss(y_true, y_score, sample_weight=None)
sklearn.metrics.pairwise_distances(X, Y=None, metric='euclidean', n_jobs=1, **kwds)
sklearn.metrics.roc_curve(y_true, y_score, pos_label=None, sample_weight=None, drop_intermediate=True)
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