逻辑回归-多分类策略

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(____)
    lr_ovr = LogisticRegression(____)
    lr_ovr.fit(____)
    lr_multi = LogisticRegression(____)
    lr_multi.fit(____)
    print('____', round(accuracy_score(y_test, lr_ovr.predict(____)), ____))
    print('____', round(accuracy_score(y_test, lr_multi.predict(____)), ____))