逻辑回归-系数解释

def solve():
    import pandas as pd
    from sklearn.linear_model import LogisticRegression
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    lr = LogisticRegression(____)
    lr.fit(____)
    print(____)
    for name, coef in zip(____):
        print(____)