sklearn.metrics.matthews_corrcoef(y_true, y_pred, sample_weight=None)

sklearn.metrics.calinski_harabaz_score(X, labels)

sklearn.metrics.silhouette_score(X, labels, metric='euclidean', sample_size=None, random_state=None, **kwds)

sklearn.metrics.homogeneity_completeness_v_measure(labels_true, labels_pred)

sklearn.metrics.mean_absolute_error(y_true, y_pred, sample_weight=None, multioutput='uniform_average')

sklearn.metrics.precision_recall_fscore_support(y_true, y_pred, beta=1.0, labels=None, pos_label=1, average=None

sklearn.metrics.pairwise.sigmoid_kernel(X, Y=None, gamma=None, coef0=1)

sklearn.metrics.hinge_loss(y_true, pred_decision, labels=None, sample_weight=None)

sklearn.metrics.label_ranking_average_precision_score(y_true, y_score)

sklearn.metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None)