模型对比-分类器比较

def solve():
    import pandas as pd
    from sklearn.linear_model import LogisticRegression
    from sklearn.svm import SVC
    from sklearn.naive_bayes import GaussianNB
    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(____)
    models = [('____', LogisticRegression(____)), ('____', SVC(____)), ('____', GaussianNB())]
    for name, model in models:
        model.fit(____)
        acc = accuracy_score(y_test, model.predict(____))
        print(____)