这是我的代码，我尝试计算 ROC 分数，但我遇到 ValueError 问题：不支持多类格式。我已经在寻找 sci-kit learn 但它没有帮助。最后，我仍然有 ValueError：不支持多类格式。
这是我的代码
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.metrics import confusion_matrix,zero_one_loss
from sklearn.metrics import classification_report,matthews_corrcoef,accuracy_score
from sklearn.metrics import roc_auc_score, auc
dtc = DecisionTreeClassifier()
bc = BaggingClassifier(base_estimator=dtc, n_estimators=10, random_state=17)
bc.fit(train_x, train_Y)
pred_y = bc.predict(test_x)
fprate, tprate, thresholds = roc_curve(test_Y, pred_y)
results = confusion_matrix(test_Y, pred_y)
error = zero_one_loss(test_Y, pred_y)
roc_auc_score(test_Y, pred_y)
FP = results.sum(axis=0) - np.diag(results)
FN = results.sum(axis=1) - np.diag(results)
TP = np.diag(results)
TN = results.sum() - (FP + FN …