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

Computer activity data set

Description
Files and additional references

Description

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

General information

Computer activity data set
Type	Regression	Origin	Real world
Features	21	(Real / Integer / Nominal)	(21 / 0 / 0)
Instances	8192	Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain	Attribute	Domain
Lread	[0.0,1845.0]	Rchar	[278.0,2526649.0]	Pgin	[0.0,141.2]
Lwrite	[0.0,575.0]	Wchar	[1498.0,1801623.0]	Ppgin	[0.0,292.61]
Scall	[109.0,12493.0]	Pgout	[0.0,81.440002]	Pflt	[0.0,899.8]
Sread	[6.0,5318.0]	Ppgout	[0.0,184.199997]	Vflt	[0.2,1365.0]
Swrite	[7.0,5456.0]	Pgfree	[0.0,523.0]	Runqsz	[1.0,2823.0]
Fork	[0.0,20.120001]	Pgscan	[0.0,1237.0]	Freemem	[55.0,12027.0]
Exec	[0.0,59.560001]	Atch	[0.0,211.580002]	Freeswap	[2.0,2243187.0]
Usr	[0.0,99.0]

Additional information

The Computer Activity dataset is a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user university department. The task is to predict de variable usr, the portion of time that cpus run in user mode.

Files and additional references

In this section you can download some files related to the compactiv 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 DELVE repository. The original page where the data set can be found is: http://www.cs.toronto.edu/~delve/data/comp-activ/desc.html.