支持向量机分类

def solve():
    from sklearn.datasets import load_iris
    from sklearn.neural_network import MLPClassifier
    from sklearn.preprocessing import StandardScaler
    from sklearn.metrics import accuracy_score
    iris = load_iris()
    X = iris.data
    y = iris.target
    scaler = StandardScaler()
    X_s = scaler.fit_transform(____)
    model = MLPClassifier(hidden_layer_sizes=(____,), random_state=____, max_iter=____).fit(____)
    acc = accuracy_score(y, model.predict(____))
    print(____)