tictactoe: SHUFFLED TIC-TAC-TOE-ENDGAME DATASET

In sbrl: Scalable Bayesian Rule Lists Model

Description

This is a shuffled version of the Tic-Tac-Toe Endgame Data Set on UCI Machine Learning Repository.

Usage

data("tictactoe")

Format

A data frame with 958 observations on the following 10 variables.

c1

a factor with levels b, o, x

c2

a factor with levels b, o, x

c3

a factor with levels b, o, x

c4

a factor with levels b, o, x

c5

a factor with levels b, o, x

c6

a factor with levels b, o, x

c7

a factor with levels b, o, x

c8

a factor with levels b, o, x

c9

a factor with levels b, o, x

label

an integer with values 0, 1

Details

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").

Source

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

Examples

data(tictactoe)
## maybe str(tictactoe) ; plot(tictactoe) ...

sbrl documentation built on May 1, 2019, 11:02 p.m.