不同k值对比可视化

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 = [____, ____, ____, ____, ____]
    train_acc, test_acc = [], []
    for k in ks:
        knn = KNeighborsClassifier(____)
        knn.fit(____)
        train_acc.append(knn.score(____))
        test_acc.append(knn.score(____))
    plt.plot(____)
    plt.plot(____)
    plt.xlabel(____); plt.ylabel(____); plt.legend(); plt.title(____)
    plt.show()
    print("____".join(f"____" for k, a in zip(____)))