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

Minority Class with Rectangular Shape (examples = 800, disturbance ratio = 30%, IR = 7) data set

Description
Files and additional references

Description

This section describes main characteristics of the 03subcl5-800-7-30-BI data set and its attributes:

General information

Minority Class with Rectangular Shape (examples = 800, disturbance ratio = 30%, IR = 7) data set
Type	Imbalanced	Origin	Real world
Features	2	(Real / Integer / Nominal)	(2 / 0 / 0)
Instances	800	IR	7
% Positive instances	12.5	% Negative instances	87.5
Missing values?	No

Attribute description

Attribute	Domain
dim1	[-84.0,482.0]
dim2	[-282.0,1483.0]
class	{0, 1}

Additional information

This is an artificial data set with 2 classes (the minority and the majority class) and 800 examples randomly and uniformly distributed in the two-dimensional space (both attributes were real-valued). The examples from the minority class are located inside rectangles following related works on small disjuncts. The borders of sub-regions in the minority class are disturbed increasing the ratio of borderline examples from the minority class subregions (the disturbance ratio) in 30%.

Files and additional references

In this section you can download some files related to the 03subcl5-800-7-30-BI 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 .