交叉验证-多模型对比

def solve():
    import pandas as pd
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.model_selection import cross_val_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    dt_scores = cross_val_score(DecisionTreeClassifier(____), X, y, cv=____)
    rf_scores = cross_val_score(RandomForestClassifier(____), X, y, cv=____)
    print('____', round(dt_scores.mean(), ____))
    print('____', round(rf_scores.mean(), ____))