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](https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame) 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][pddl] (assuming either no rights or public domain licence in source data). [pddl]: http://opendatacommons.org/licenses/pddl/1.0/