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 = 600, IR = 5) data set

Description
Files and additional references

Description

This section describes main characteristics of the 03subcl5-600-5-0-BI data set and its attributes:

General information

Minority Class with Rectangular Shape (examples = 600, IR = 5) data set
Type	Imbalanced	Origin	Real world
Features	2	(Real / Integer / Nominal)	(2 / 0 / 0)
Instances	600	IR	5
% Positive instances	16.67	% Negative instances	83.33
Missing values?	No

Attribute description

Attribute	Domain
dim1	[-84.0,483.0]
dim2	[-282.0,1481.0]
class	{0, 1}

Additional information

This is an artificial data set with 2 classes (the minority and the majority class) and 600 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.

Files and additional references

In this section you can download some files related to the 03subcl5-600-5-0-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 .