sklearn.metrics.coverage_error(y_true, y_score, sample_weight=None)
sklearn.metrics.r2_score(y_true, y_pred, sample_weight=None, multioutput=None)
sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0)
sklearn.metrics.v_measure_score(labels_true, labels_pred)
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)
sklearn.metrics.zero_one_loss(y_true, y_pred, normalize=True, sample_weight=None)
sklearn.metrics.pairwise.laplacian_kernel(X, Y=None, gamma=None)
sklearn.metrics.fowlkes_mallows_score(labels_true, labels_pred, sparse=False)
sklearn.metrics.confusion_matrix(y_true, y_pred, labels=None, sample_weight=None)
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