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QUEST is 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).

CMake 15.31% C 14.92% C++ 40.02% Makefile 29.75%
cpp decision-tree-algorithm quest machine-learning-algorithms

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