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Machine Learning for OpenCV
book

Machine Learning for OpenCV

by Michael Beyeler, Michael Beyeler (USD)
July 2017
Intermediate to advanced
382 pages
9h 13m
English
Packt Publishing
Content preview from Machine Learning for OpenCV

Building our first decision tree

I think we are ready for a more complex example. As promised earlier, let's move this into the medical domain.

Let's consider an example where a number of patients have suffered from the same illness, such as a rare form of basorexia. Let's further assume that the true causes of the disease remain unknown to this day, and that all the information that is available to us consists of a bunch of physiological measurements. For example, we might have access to the following information:

  • a patient's blood pressure ('BP')
  • a patient's cholesterol level ('cholesterol')
  • a patient's gender ('sex')
  • a patient's age ('age')
  • a patient's blood sodium concentration ('Na')
  • a patient's blood potassium concentration ('K')
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Publisher Resources

ISBN: 9781783980284