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Tic-Tac-Toe Endgame

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Binary classification task on possible configurations of tic-tac-toe game This database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where "x" is assumed to have played first. The target concept is "win for x" (i.e., true when "x" has one of 8 possible ways to create a "three-in-a-row"). Interestingly, this raw database gives a stripped-down decision tree algorithm (e.g., ID3) fits. However, the rule-based CN2 algorithm, the simple IB1 instance-based learning algorithm, and the CITRE feature-constructing decision tree algorithm perform well on it.
Subject Area
Games
Instances
958
Features
9
Data Types
Multivariate
Tasks
Classification
Feature Types
Categorical

Features

NameRoleTypeUnitsMissing Values

Introductory Paper

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Keywords
Authors
David Aha
Year Created
1991
License
CC BY 4.0