Wed Sep 20 14:59:29 2023

cancer_visualize_pca():
  Python version: 3.8.10
  scikit-learn version: 1.3.0
  Work with data from the cancer dataset.
  Use principal component analysis to visualize differences
  between malignant and benign cases.

  Retrieve the cancer dataset, (X, y).

  Original shape:  (569, 30)
  Reduced shape:   (569, 2)
  Graphics saved as "cancer_visualize_pca_components.png"

  PCA component shape: (2, 30)

  PCA components:
[[ 0.21890244  0.10372458  0.22753729  0.22099499  0.14258969  0.23928535
   0.25840048  0.26085376  0.13816696  0.06436335  0.20597878  0.01742803
   0.21132592  0.20286964  0.01453145  0.17039345  0.15358979  0.1834174
   0.04249842  0.10256832  0.22799663  0.10446933  0.23663968  0.22487053
   0.12795256  0.21009588  0.22876753  0.25088597  0.12290456  0.13178394]
 [-0.23385713 -0.05970609 -0.21518136 -0.23107671  0.18611302  0.15189161
   0.06016536 -0.0347675   0.19034877  0.36657547 -0.10555215  0.08997968
  -0.08945723 -0.15229263  0.20443045  0.2327159   0.19720728  0.13032156
   0.183848    0.28009203 -0.21986638 -0.0454673  -0.19987843 -0.21935186
   0.17230435  0.14359317  0.09796411 -0.00825724  0.14188335  0.27533947]]
  Graphics saved as "cancer_visualize_pca_coefficients.png"

cancer_visualize_pca():
  Normal end of execution.
Wed Sep 20 14:59:31 2023