About the dataset

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").

To load the dataset in your jupyter notebook, use the below command:

import pandas as pd
ttt_data = pd.read_csv('https://github.com/dphi-official/Datasets/blob/master/Tic-Tac-Toe/Training_set_ttt.csv')

Data Description

tls: top_left_square (x, o, b)
tms: top_middle_square (x, o, b)
trs: top_right_square (x, o, b)
mls: middle_left_square (x, o, b)
mms: middle_middle_square (x, o, b)
mrs: middle_right_square (x, o, b)
bls: bottom_left_square (x, o, b)
bms: bottom_middle_square (x, o, b)
brs: bottom_right_square (x, o, b)
result: Whether the first player won or lost (result = positive means won, result = negative means lost)

x = first player, o = second player, b = blank

Evalutaion Dataset

Load the evaluation data (name it as 'evaluation_data'). You can load the data using the below command.

evaluation_data = pd.read_csv('https://github.com/dphi-official/Datasets/blob/master/Tic-Tac-Toe/Testing_set_ttt.csv')

Reference

This dataset is downloaded from UCI Machine Learning Repository -

https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame

Tic-Tac-Toe

Challenge Starts

Challenge Ends