精确率-召回率曲线

def solve():
    import matplotlib
    matplotlib.use(____)
    import matplotlib.pyplot as plt
    from sklearn.datasets import load_iris
    from sklearn.linear_model import LogisticRegression
    from sklearn.preprocessing import StandardScaler
    from sklearn.metrics import precision_recall_curve, average_precision_score
    iris = load_iris()
    X = iris.data
    y = (____).astype(____)
    scaler = StandardScaler()
    X_s = scaler.fit_transform(____)
    model = LogisticRegression(____).fit(____)
    prob = model.predict_proba(____)[:, ____]
    precision, recall, _ = precision_recall_curve(____)
    ap = average_precision_score(____)
    plt.figure(figsize=(____, ____))
    plt.plot(____)
    plt.title(____)
    plt.legend()
    plt.tight_layout()
    plt.show()
    print(____)