ROC曲线

def solve():
    from sklearn.datasets import load_iris
    from sklearn.linear_model import LogisticRegression
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import roc_curve, auc
    import matplotlib.pyplot as plt
    iris = load_iris()
    X = iris.data
    y = (____).astype(____)
    X_train, X_test, y_train, y_test = train_test_split(____)
    model = LogisticRegression(____)
    model.fit(____)
    y_score = model.predict_proba(____)[:, ____]
    fpr, tpr, _ = roc_curve(____)
    roc_auc = auc(____)
    plt.figure(figsize=(____, ____))
    plt.plot(____)
    plt.plot(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.title(____)
    plt.legend()
    plt.grid(____)
    plt.show()