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

Pole Telecommunications dataset data set

Description
Files and additional references

Description

This section describes main characteristics of the pole data set and its attributes:

General information

Pole Telecommunications dataset data set
Type	Regression	Origin	Laboratory
Features	26	(Real / Integer / Nominal)	(26 / 0 / 0)
Instances	14998	Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain	Attribute	Domain
Att0	[13.0,200.0]	Att9	[0.0,131.0]	Att18	[0.0,108.0]
Att1	[77.0,200.0]	Att10	[0.0,143.0]	Att19	[0.0,96.0]
Att2	[76.0,200.0]	Att11	[0.0,117.0]	Att20	[0.0,74.0]
Att3	[71.0,200.0]	Att12	[0.0,117.0]	Att21	[0.0,67.0]
Att4	[94.0,200.0]	Att13	[0.0,116.0]	Att22	[0.0,44.0]
Att5	[0.0,134.0]	Att14	[0.0,131.0]	Att23	[0.0,69.0]
Att6	[0.0,134.0]	Att15	[0.0,104.0]	Att24	[0.0,50.0]
Att7	[0.0,150.0]	Att16	[0.0,90.0]	Att25	[0.0,39.0]
Att8	[0.0,133.0]	Att17	[0.0,72.0]	Output	[0.0,100.0]

Additional information

This is a commercial application described in Weiss and Indurkhya (1995) (http://www.cs.su.oz.au/~nitin). The data describes a telecommunication problem. No further information is available.

Files and additional references

In this section you can download some files related to the pole 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 .
This is not a native data set from the KEEL project. It has been obtained from the LLIACC repository. The original page where the data set can be found is: http://www.liaad.up.pt/~ltorgo/Regression/DataSets.html.