Python3 implementation of ID3 algorithm based on categorical datasets.
- 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 usingpyDot
library
- 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
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 | ? |
Feel free to leave any comments (as issues) or make suggestions (as a pull request).