def calculate_purity(y_true, y_pred): conf_matrix=confusion_matrix(y1, labels) Pj = conf_matrix.max(axis=0) Mj = conf_matrix.sum(axis=0) purity = np.sum(Pj)/np.sum(Mj) return purity
