Tic-Tac-Toe Endgame
About
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
| Name | Role | Type | Units | Missing Values |
|---|---|---|---|---|
| class | Target | Categorical | - | No |
| top-left-square | Feature | Categorical | - | No |
| top-middle-square | Feature | Categorical | - | No |
| top-right-square | Feature | Categorical | - | No |
| middle-left-square | Feature | Categorical | - | No |
| middle-middle-square | Feature | Categorical | - | No |
| middle-right-square | Feature | Categorical | - | No |
| bottom-left-square | Feature | Categorical | - | No |
| bottom-middle-square | Feature | Categorical | - | No |
| bottom-right-square | Feature | Categorical | - | No |
Introductory Paper
–