无法从'sklearn.metrics‘导入名称'RocCurveDisplay’

pip show scikit-learn

pip install --upgrade scikit-learn

pip uninstall scikit-learn
pip install scikit-learn

python -m venv myenv
source myenv/bin/activate  # 在 Windows 上使用 `myenv\Scripts\activate`
pip install scikit-learn

import numpy as np
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import RocCurveDisplay

# 生成一些示例数据
X, y = make_classification(n_samples=1000, n_features=20, random_state=42)

# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)

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

# 预测概率
y_pred_proba = model.predict_proba(X_test)[:, 1]

# 绘制 ROC 曲线
RocCurveDisplay.from_estimator(model, X_test, y_test)