/home/john/.local/lib/python3.8/site-packages/sklearn/svm/_classes.py:32: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.
  warnings.warn(
/home/john/.local/lib/python3.8/site-packages/sklearn/svm/_classes.py:32: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.
  warnings.warn(
/home/john/.local/lib/python3.8/site-packages/sklearn/svm/_base.py:1242: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn(
/home/john/.local/lib/python3.8/site-packages/sklearn/svm/_classes.py:32: FutureWarning: The default value of `dual` will change from `True` to `'auto'` in 1.5. Set the value of `dual` explicitly to suppress the warning.
  warnings.warn(
/home/john/.local/lib/python3.8/site-packages/sklearn/svm/_base.py:1242: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
  warnings.warn(
Thu Aug  3 11:06:11 2023

forge_classify_svm():
  Python version: 3.8.10
  scikit-learn version: 1.3.0
  Classify the data from the forge dataset.
  Use the support vector classifier.
  Vary the C parameter.

  Generate the forge dataset, (X, y).
  X.shape: (26, 2)
  Graphics saved as 'forge_classify_0.01.png'
  Graphics saved as 'forge_classify_10.0.png'
  Graphics saved as 'forge_classify_1000.0.png'

forge_classify_svm():
  Normal end of execution.
Thu Aug  3 11:06:12 2023