Quest decision tree is an open source software project for training decision classification tree with Quest algorithm proposed by Loh and Shih (1997) and stands for Quick, Unbiased, Efficient, Statistical Tree. It is a tree-structured classification algorithm that yields a binary decision tree. A comparison study of QUEST and other algorithms was conducted by Lim et al (2000). The project was implemented with c++ language ,trained and tested successfully.
Before you run the program, you need some libraries intalled in your machine.
g++, gsl, cmake
cd /../QuestDecisionTree
mkdir build
cd build
cmake ../
make
./QuestDecisionTree trainingdata.csv matadata.txt testdata.csv
(make sure the file trainingdata.csv matadata.txt testdata.csv exists in your executable directory)
Wei-Yin Loh and Yu-Shan Shih.Split selection methods for classification tree.