决策树分类

def solve():
    from sklearn.datasets import load_iris
    from sklearn.model_selection import train_test_split
    from sklearn.ensemble import RandomForestClassifier
    from sklearn.metrics import accuracy_score
    iris = load_iris()
    X = iris.data
    y = iris.target
    X_train, X_test, y_train, y_test = train_test_split(____)
    model = RandomForestClassifier(____).fit(____)
    acc = accuracy_score(y_test, model.predict(____))
    print(____)