virajmavani / decision-tree

ID3 algorithm implementation for Decision Trees

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Programming Assignment 1

Decision Tree Implementation

Dependencies:

  1. numpy
  2. matplotlib
  3. sklearn

Execution:

  1. Run the decision_tree.py file. No arguments required.

Output:

All the matplotlib figures will pop up on execution.

The ID3 implemented decision trees are visualized on the console.

Directory Structure Assumption

The code has been written in a fashion which assumes all data files are in the same directory as the code.

Put the files: monks-1.train, monks-1.test, monks-2.train, monks-2.test, monks-3.train, monks-3.test, car.data; all in the same directory with the decision_tree.py file for execution.

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ID3 algorithm implementation for Decision Trees


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