Mon Jul 31 20:28:53 2023

cancer_classify_gradboost():
  Python version: 3.8.10
  scikit-learn version: 1.3.0

  Retrieve the cancer dataset, (X, y).

  Training accuracy =  1.0
  Testing accuracy  =  0.958041958041958

Repeat calculation with learning rate decreased to 0.01:
  Training accuracy =  0.9953051643192489
  Testing accuracy  =  0.9440559440559441

Repeat calculation with max_depth restricted to 1:
  Training accuracy =  0.9953051643192489
  Testing accuracy  =  0.965034965034965
  Graphics saved as "cancer_classify_gradboost.png"

cancer_classify_gradboost():
  Normal end of execution.
Mon Jul 31 20:28:56 2023