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

Electrical-Maintenance data set

Description
Files and additional references

Description

This section describes main characteristics of the ele-2 data set and its attributes:

General information

Electrical-Maintenance data set
Type	Regression	Origin	Real world
Features	4	(Real / Integer / Nominal)	(4 / 0 / 0)
Instances	1056	Missing values?	No

Attribute description

Attribute	Domain
X1	[0.5,11.0]
X2	[0.15,8.55]
X3	[1.64,142.5]
X4	[1.0,165.0]
Y	[64.470001,8546.030273]

Additional information

This problem consists of four input variables and the available data set is comprised of a representative number of well distributed examples. In this case, the learning methods are expected to obtain a considerable number of rules. Therefore, this problem involves a larger search space (high complexity).

Files and additional references

In this section you can download some files related to the ele-2 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 .