text: from sklearn.neural_network import MLPClassifier
  
  raw_x = [18023140, 18023052, 18023144]
  x = [0 for i in range(len(raw_x))]
  
  for i in range(len(raw_x)):
      x[i] = [int(i) for i in list(str(raw_x[i]))]
  y = [38916, 37641, 38768]
  
  clf = MLPClassifier(hidden_layer_sizes=[8], activation='logistic', solver='sgd', random_state=3)
  clf.fit(x, y)
  for xx in x:
      print('0' + str(clf.predict([xx])[0]))
  