认识过拟合可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn.model_selection import train_test_split
    df = pd.read_csv(____)
    X = df.drop(____); y = df["____"]
    X_train, X_test, y_train, y_test = train_test_split(____)
    ks = [____, ____, ____, ____]
    tr, te = [], []
    for k in ks:
        knn = KNeighborsClassifier(____)
        knn.fit(____)
        tr.append(knn.score(____))
        te.append(knn.score(____))
    x = range(len(____))
    plt.bar(____)
    plt.bar(____)
    plt.xticks(x, [str(____) for k in ks]); plt.ylabel(____); plt.legend()
    plt.title(____); plt.show()
    print(____)