我可以在scikit-learn中获得错误预测的列表吗？

from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression

# 加载数据集
iris = datasets.load_iris()
X = iris.data
y = iris.target

# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# 训练模型
model = LogisticRegression()
model.fit(X_train, y_train)

# 预测测试集
y_pred = model.predict(X_test)

# 找出预测错误的样本索引
error_indices = [i for i in range(len(y_test)) if y_test[i] != y_pred[i]]

# 打印预测错误的样本
for index in error_indices:
    print(f"样本 {index} 预测错误，预测结果为 {y_pred[index]}，真实标签为 {y_test[index]}")