随机森林-回归任务

def solve():
    import pandas as pd
    from sklearn.ensemble import RandomForestRegressor
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import mean_squared_error
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    rf = RandomForestRegressor(____)
    rf.fit(____)
    print('____', round(mean_squared_error(y_test, rf.predict(____)), ____))