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

Delta Elevators data set

Description
Files and additional references

Description

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

General information

Delta Elevators data set
Type	Regression	Origin	Laboratory
Features	6	(Real / Integer / Nominal)	(5 / 1 / 0)
Instances	9517	Missing values?	No

Attribute description

Attribute	Domain
climbRate	[-15.0, 15.1]
Altitude	[-100, 90]
RollRate	[-0.0237, 0.0184]
curRoll	[-0.051, 0.049]
diffClb	[-0.8, 0.7]
diffDiffClb	[-0.03, 0.02]
Se	[-0.014, 0.013]

Additional information

Please, note that this data set is different from the Elevator data set.

This data set is also obtained from the task of controlling the elevators of a F16 aircraft, although the target variable and attributes are different from the elevators domain. The target variable here is a variation instead of an absolute value, and there was some pre-selection of the attributes.

Files and additional references

In this section you can download some files related to the delta_elv 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 Luís Torgo\'s web page. The original page where the data set can be found is: http://www.liaad.up.pt/~ltorgo/Regression/DataSets.html.