逻辑回归-正则化参数

def solve():
    import pandas as pd
    from sklearn.linear_model import LogisticRegression
    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 c in [____, ____, ____, ____]:
        lr = LogisticRegression(____)
        lr.fit(____)
        acc = accuracy_score(y_test, lr.predict(____))
        print(____)