title: ConvergenceWarning while running MLPClassifier
body: <p>Code:</p>
  <pre><code>mlpc = MLPClassifier(hidden_layer_sizes = (11,11,11), max_iter = 500)  
  mlpc.fit(X_train, y_train)
  pred_mlpc = mlpc.predict(X_test)
  </code></pre>
  <p>Warning Received:
  C:\Users\JC_IS\Documents\1_Professional_Training\Programming\Python_Files\envs\DataScience\lib\site-packages\sklearn\neural_network_multilayer_perceptron.py:702: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.
  warnings.warn(</p>
  <p>My data set is from the winequality-red.csv used in the Simplilearn 'Python for Beginners' tutorial, lesson 21, Scikit Learn Library.</p>
  <p>I've checked and double checked the instructor's code, and I've copied it exactly, but he does not get this warning, but I do.</p>