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KEEL-dataset - data set description
dataset/images/kr-vs-k.jpg



This section describes main characteristics of the kr-vs-k data set and its attributes:

General information

Chess (King-Rook vs. King) data set
TypeClassificationOriginReal world
Features 6(Real / Integer / Nominal)(0 / 0 / 16)
Instances28056 Classes17
Missing values?No

Attribute description

AttributeDomain
White_king_col{a, b, c, d, e, f, g, h}
White_king_row{1, 2, 3, 4, 5, 6, 7, 8}
White_rook_col{a, b, c, d, e, f, g, h}
White_rook_row{1, 2, 3, 4, 5, 6, 7, 8}
Black_king_col{a, b, c, d, e, f, g, h}
Black_king_row{1, 2, 3, 4, 5, 6, 7, 8}
Game{draw, ... ,sixteen}

Additional information

A chess endgame data set representign the positions on the board of the white king, the white rook, and the black king. The task is to determine the optimum number of turn required for white to win the game, which can be a draw if it takes more than sixteen turns.




In this section you can download some files related to the kr-vs-k data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Chess+%28King-Rook+vs.+King%29.


 
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