模型对比-多模型比较

def solve():
    import pandas as pd
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.neighbors import KNeighborsClassifier
    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 = [('____', DecisionTreeClassifier(____)), ('____', RandomForestClassifier(____)), ('____', KNeighborsClassifier())]
    for name, model in models:
        model.fit(____)
        acc = accuracy_score(y_test, model.predict(____))
        print(____)