Thu Mar 28 22:22:42 2024

circle_classify_gradboost():
  Python version: 3.10.12
  scikit-learn version: 1.2.1
  Estimate uncertainty in classification of circle data.

  Generate circle data.

  X_test.shape: (25, 2)
  Decision function shape: (25,)
  First few entries of decision function:
[ 4.13592603 -1.70169917 -3.95106099 -3.62609552  4.28986642  3.66166081]
  Thresholded decision function:
[ True False False False  True  True False  True  True  True False  True
  True False  True False False False  True  True  True  True  True False
 False]
  Predictions:
['red' 'blue' 'blue' 'blue' 'red' 'red' 'blue' 'red' 'red' 'red' 'blue'
 'red' 'red' 'blue' 'red' 'blue' 'blue' 'blue' 'red' 'red' 'red' 'red'
 'red' 'blue' 'blue']
  pred is equal to predictions:
True
  Decision function minimum =  -7.690971785101899
  Decision function maximum =  4.289866423997604
  Graphics saved as "circle_classify_gradboost_1.png"

  Shape of probabilities: (25, 2)

  First few probabilities:
[[0.01573626 0.98426374]
 [0.84575653 0.15424347]
 [0.98112869 0.01887131]
 [0.97407033 0.02592967]
 [0.01352142 0.98647858]
 [0.02504637 0.97495363]]
  Graphics saved as "circle_classify_gradboost_2.png"

circle_classify_gradboost():
  Normal end of execution.
Thu Mar 28 22:22:44 2024