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Decision Tree Program

Python3 implementation of ID3 algorithm based on categorical datasets.

Sample Decision Tree

Features

  • The tree is created using DecisionTree.py file.
  • Its implementation of ID3 algorithm and returns the resulting tree as a multi-dimensional dictionary.
  • Works on categorical datasets only.
  • Unpredictable outputs are denoted by ?
  • Added DrawTree.py to generate decision tree png image using pyDot library

Installation

  • Open the terminal or command prompt. Head for the directory with source code
  • PyDot package is based on GraphViz. Get the instructions to install it here
  • Install python requirements:
pip install -r requirements.txt

Sample Output

Output of Test Cases:

Weather.csv

Entry Output
entry1 no
entry2 no
entry3 yes
entry4 yes
entry5 no

Vote.csv

Entry Output
entry1 democrat
entry2 democrat
entry3 republican
entry4 democrat
entry5 democrat

Soybean.csv

Entry Output
entry1 ?
entry2 frog-eye-leaf-spot
entry3 frog-eye-leaf-spot
entry4 brown-spot
entry5 ?

Contributing

Feel free to leave any comments (as issues) or make suggestions (as a pull request).

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