This dataset contains tic-tac-toe endgame snapshots. First nine attributes are representing nine fields on tic-tac-toe board and tenth is class attribute which contains information if x player won.

Data

This dataset was found on UCI - Tic-Tac-Toe Endgame Data set

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.

Attribute information

• TL : top left square {x,o,b}
• TM : top middle square {x,o,b}
• TR : top right square {x,o,b}
• ML : middle left square {x,o,b}
• MM : middle middle square {x,o,b}
• MR : middle right square {x,o,b}
• BL : bottom left square {x,o,b}
• BM : bottom middle square {x,o,b}
• BR : bottom right square {x,o,b}
• class :
  • true: x won
  • false: x lost

Values are:

• x : x player
• o : o player
• b : blank field

Data is located in directory data

data/hepatitis.csv

Preparation

This script should be run using Python 3.

Scripts are in directory scripts

scripts/main.py

License

Licensed under the Public Domain Dedication and Licence (assuming either no rights or public domain licence in source data).