岭回归

def solve():
    import matplotlib
    matplotlib.use(____)
    import matplotlib.pyplot as plt
    import numpy as np
    from sklearn.datasets import load_iris
    from sklearn.linear_model import LogisticRegression
    from sklearn.preprocessing import StandardScaler
    iris = load_iris()
    X = iris.data[:, :____]
    y = iris.target
    scaler = StandardScaler()
    X_s = scaler.fit_transform(____)
    model = LogisticRegression(____).fit(____)
    acc = (model.predict(____) == y).mean()
    plt.figure(figsize=(____, ____))
    colors = ['____', '____', '____']
    for i in range(____):
        plt.scatter(____)
    plt.title(____)
    plt.tight_layout()
    plt.show()
    print(____)