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

Laser generated data set

Description
Files and additional references

Description

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

General information

Laser generated data set
Type	Regression	Origin	Laboratory
Features	4	(Real / Integer / Nominal)	(4 / 0 / 0)
Instances	993	Missing values?	No

Attribute description

Attribute	Domain
Input1	[2.0, 255.0]
Input2	[2.0, 255.0]
Input3	[2.0, 255.0]
Input4	[2.0, 255.0]
Output	[0.0, 255.0]

Additional information

This data set was originally a univariate time record of a single observed quantity, recorded from a Far-Infrared-Laser in a chaotic state. The original set 1000 points has been adapted for regression by considering every set of four consecutive values as inputs, and the next one as output. Duplicated instances has been removed.

Files and additional references

In this section you can download some files related to the laser 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 The Santa Fe Time Series Competition Data repository. The original page where the data set can be found is: http://www-psych.stanford.edu/~andreas/Time-Series/SantaFe.html.