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← Minimizing Impurity in Splitting - Intro to Machine Learning

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Showing Revision 3 created 05/25/2016 by Udacity Robot.

  1. And, as you might've guessed, this is going to be the one that has more purity.
  2. You can see that everything in this set of examples is all
  3. going to be something that has to go slow.
  4. Whereas, over here, you get some contamination from a few fast points.
  5. And, this is an introduction to the idea of entropy, and the idea of impurity.
  6. What you're trying to do when you build a decision tree is,
  7. is you're trying to find variables and split points along those
  8. variables that's going to make subsets that are as pure as possible.
  9. And, by repeating that process recursively,
  10. that's how the decision tree actually makes its decisions