RobustScaler抗异常值

from sklearn.datasets import load_iris
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, RobustScaler
from sklearn.metrics import accuracy_score
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(____)
X_train[____] = [____, ____, ____, ____]
s1 = StandardScaler()
s2 = RobustScaler()
X_train_s = s1.fit_transform(____)
X_test_s = s1.transform(____)
X_train_r = s2.fit_transform(____)
X_test_r = s2.transform(____)
clf1 = MLPClassifier(hidden_layer_sizes=(____,), max_iter=____, random_state=____)
clf1.fit(____)
clf2 = MLPClassifier(hidden_layer_sizes=(____,), max_iter=____, random_state=____)
clf2.fit(____)
print(____)
print(____)