Introduction to Decision Trees

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"(1) Decision tree as a model
(2) Question as a feature-value pair
(3) Internal nodes and prediction nodes
(4) Goodness of a question
(5) Entropy as a measure of impurity
(6) Information gain"
  1. IIT Madras - B.S. Degree Programme
  2. decision tree
  3. entropy
  4. information gain
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Комментарии
Автор

Even one example in the last 5 minutes would have made the lecture 500 🌟

storiesshubham
Автор

Amazing explanation professor! The reasoning for using entropy measure is the best; most lecures leave out the reasoning and directly jump to the formula and its usage.

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