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 Length data set

Description
Files and additional references

Description

This section describes main characteristics of the ele-1 data set and its attributes:

General information

Electrical Length data set
Type	Regression	Origin	Real world
Features	2	(Real / Integer / Nominal)	(1 / 1 / 0)
Instances	495	Missing values?	No

Attribute description

Attribute	Domain
Inhabitants	[1, 320]
Distance	[60.0, 1673.329956]
Length	[80.0, 7675.0]

Additional information

This problem with only two input variables involves a small search space (small complexity). However, it is still an interesting problem since the system is strongly nonlinear and the available data is limited to a low number of examples presenting noise. All of these drawbacks make the modeling surface complicated indeed and, in this case, produce a strong overfitting of the obtained models.

Files and additional references

In this section you can download some files related to the ele-1 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 .