KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

dataset/images/kr-vs-k-zero-one_vs_draw.jpg

Chess - King-Rook vs. King (Imbalanced: zero-one vs draw) data set

Description
Files and additional references

Description

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

General information

Chess - King-Rook vs. King (Imbalanced: zero-one vs draw) data set
Type	Imbalanced	Origin	Real world
Features	6	(Real / Integer / Nominal)	(0 / 0 / 6)
Instances	2901	IR	26.63
% Positive instances	3.62	% Negative instances	96.38
Missing values?	No

Attribute description

Attribute	Domain
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}
Class	{positive, negative}

Additional information

An imbalanced version of the Chess - King-Rook vs. King data set, where the possitive examples belong to the classes zero-one and the negative examples belong to the class draw.

Files and additional references

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

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .