sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)
sklearn.metrics.v_measure_score(labels_true, labels_pred)
sklearn.metrics.coverage_error(y_true, y_score, sample_weight=None)
sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0)
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