决策树-树深度限制

def solve():
    import pandas as pd
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    for depth in [____, ____, ____, ____, None]:
        dt = DecisionTreeClassifier(____)
        dt.fit(____)
        acc = accuracy_score(y_test, dt.predict(____))
        print(____)