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

Cylinder Bands data set

Description
Files and additional references

Description

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

General information

Cylinder Bands data set
Type	Classification	Origin	Real world
Features	19	(Real / Integer / Nominal)	(13 / 6 / 0)
Classes	2	Missing values?	Yes
Total instances	539	Instances without missing values	365

Attribute description

Attribute	Domain	Attribute	Domain
Proof_cut	[25.0,72.5]	Solvent_pct	[22.0,53.4]
Viscosity	[35,72]	Esa_voltage	[0.0,16.0]
Caliper	[0.133,0.533]	ESA_amperage	[0.0,6.0]
Ink_temperature	[11.2,24.5]	Wax	[0.0,3.1]
Humifity	[57,105]	Hardener	[0.0,3.0]
Roughness	[0.056,1.25]	Roller_durometer	[28.0,60.0]
Blade_pressure	[16,70]	Density	[30,45]
Varnish_pct	[0.0,35.8]	Anode_ratio	[83.33,117.86]
Press_speed	[0,2600]	Chrome_content	[90,100]
Ink_pct	[41.0,76.9]	Band_type	{band,noband}

Additional information

A classification problem from rotogravure printing, where the task is to determine a given piece is a cylinder band.

This data set is a modification of the original data set of the UCI repository. Nominal attributes has been removed, and also, 2 of the 541 instances of the originall data set were removed, as they become duplicated.

Files and additional references

In this section you can download some files related to the bands data set:

The complete data set already formatted in KEEL formatcan be downloaded from here .
A copy of the data set already partitioned by means of a 10-folds cross validation procedure 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 UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Cylinder+Bands.