application_vnd.jupyter.stderr_output_1.png
from sklearn.neural_network import MLPClassifier

clf = MLPClassifier(random_state=1)
clf.fit(X_train, y_train)
clf.score(X_test, y_test)

clf = MLPClassifier(random_state=1)
clf.fit(X2_train, y2_train)
clf.score(X2_test, y2_test)