我正在尝试计算我构建的硬投票分类器的 roc_auc 。我用可重现的示例来展示代码。现在我想计算 roc_auc 分数并绘制 ROC 曲线，但不幸的是我收到以下错误：当 vote='hard' 时，predict_proba 不可用
# Voting Ensemble for Classification
import pandas
from sklearn import datasets
from sklearn import model_selection
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC
from sklearn.ensemble import VotingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import MultinomialNB
from sklearn.cross_validation import StratifiedShuffleSplit
from sklearn.model_selection import cross_val_predict
from sklearn.model_selection import cross_val_score
from sklearn.metrics import make_scorer,confusion_matrix, f1_score, precision_score, recall_score, cohen_kappa_score,accuracy_score,roc_curve
import numpy as np
np.random.seed(42)
iris = datasets.load_iris()
X = iris.data[:, …