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Summary

Decision Tree is also one kind of inductive learning methods, with a great representation power and flexible search space. Since the interpretation of trees is easy to be understood, it is still being widely used as a major machine learning algorithm.

References

  • [Machine Learning by Tom Mitchell] - Chapter 3: Decision Tree
  • 10601, Fall 2018[CMU]

Materials

  • Course Notes
  • DecisionTree(ID3).py