Abstract—Tic-Tac-Toe game is a popular two-player game
played on a three by three grid. The first objective of this study
is to examine whether machine learners can successfully classify
Tic-Tac-Toe finished games. The second objective is to find out
whether novices learning data mining classifications can
successfully conduct experiments to evaluate the performance
of machine learners using different evaluation methods. Seven
machine learners are used and three evaluation methods are
applied in this study. The experimental results show that
machine classifiers can successfully judge the finished games
and novice can correctly conduct evaluations. Also, in-depth
instructional pedagogy further improves the correctness of
Index Terms—Classification, data mining, evaluation, Tic-Tac-Toe game.
C.-H. Chou is with the School of Business, College of Charleston, Charleston, SC 29424 USA (e-mail: firstname.lastname@example.org).
Cite:Chen-Huei Chou, "Using Tic-Tac-Toe for Learning Data Mining Classifications and Evaluations," International Journal of Information and Education Technology vol. 3, no. 4, pp. 437-441, 2013.