Decision Tree learning using modified ID3 (Iterative Dichotomiser 3) with Pruning.

Uses Information Gain/ Entropy to select the best attribute at each decision node.
Use pruning to avoid overfitting after growing full tree.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.vscode		.vscode
.gitignore		.gitignore
ID3.py		ID3.py
README.md		README.md
house_votes_84.data		house_votes_84.data
mini_auto_grader.py		mini_auto_grader.py
node.py		node.py
parse.py		parse.py
sample_test.py		sample_test.py
sample_tests.py		sample_tests.py
test.py		test.py
unit_tests.py		unit_tests.py

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