/home/john/.local/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
  warnings.warn(
Sun Aug  6 21:30:02 2023

cancer_classify_mlp():
  Python version: 3.8.10
  scikit-learn version: 1.3.0
  Use a multilayer perceptron to classify cancer data.

  Retrieve the cancer dataset, (X, y).
  Training accuracy =  0.9389671361502347
  Testing accuracy  =  0.916083916083916

Compute mean and standard deviation, and rescale the data.
  Training accuracy =  0.9953051643192489
  Testing accuracy  =  0.951048951048951

Increase the number of iterations, and repeat classification.

Increase alpha, and repeat classification.
  Training accuracy =  0.9906103286384976
  Testing accuracy  =  0.972027972027972

Plot the weight learned for the first hidden layer.
  Graphics saved as "cancer_classify_mlp.png"

cancer_classify_mlp():
  Normal end of execution.
Sun Aug  6 21:30:05 2023