随机森林-并行训练

def solve():
    import pandas as pd
    import numpy as np
    from sklearn.ensemble import RandomForestClassifier
    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(____)
    rf1 = RandomForestClassifier(____)
    rf2 = RandomForestClassifier(____)
    rf1.fit(____)
    rf2.fit(____)
    pred1 = rf1.predict(____)
    pred2 = rf2.predict(____)
    print(np.array_equal(____))