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

Elevators data set

Description
Files and additional references

Description

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

General information

Elevators data set
Type	Regression	Origin	Real world
Features	18	(Real / Integer / Nominal)	(14 / 4 / 0)
Instances	16599	Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
ClimbRate	[-993,973]	SaTime1	[-0.0035,0.0]
Sgz	[-99,94]	SaTime2	[-0.0035,0.0]
P	[-1.37,1.09]	SaTime3	[-0.0035,0.0]
Q	[-0.45,0.69]	SaTime4	[-0.0034,0.0]
CurRoll	[-3.0,2.9]	DiffSaTime1	[-0.0007,0.0007]
AbsRoll	[-23,-3]	DiffSaTime2	[0.0,0.0002]
DiffClb	[-56,45]	DiffSaTime3	[-0.0006,0.0005]
DiffRollRate	[-0.084,0.056]	DiffSaTime4	[0.0,0.0002]
DiffDiffClb	[-8.3,8.5]	Sa	[-0.0034,0.0]
Goal	[0.012,0.078]

Additional information

This data set is also obtained from the task of controlling a F16 aircraft, although the target variable and attributes are different from the ailerons domain. In this case the goal variable is related to an action taken on the elevators of the aircraft.

Files and additional references

In this section you can download some files related to the elevators 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.