My implementation of an algorithm to induce a classification decision tree, written in python3.
All the code is included in the DecisionTree.py.
This program is run as follows:
python3 DecisionTree.py <option> data.spec data.dat
where option can be one of four options:
-d: Induce a tree only with discrete data-c: Induce a tree that contains continuous values-md: Induce a tree, in addition to discrete data, may contain missing values-pd: Induce a tree, in addition to discrete data, prune the tree after induction with a limit of 5% generalisation error deterioration
Additional data files and their spec files can be found in the data folder