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

Glass Identification Multi-class Imbalanced data set

Description
Files and additional references

Description

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

General information

Glass Identification Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	9	(Real / Integer / Nominal)	(9 / 0 / 0)
Instances	214	IR	8.44
% Positive instances	10.59	% Negative instances	89.41
Missing values?	No

Attribute description

Attribute	Domain
RI	[1.51115, 1.53393]
Na	[10.73, 17.38]
Mg	[0.0, 4.49]
Al	[0.29, 3.5]
Si	[69.81, 75.41]
K	[0.0, 6.21]
Ca	[5.43, 16.19]
Ba	[0.0, 3.15]
Fe	[0.0, 0.51]
typeGlass	{1, 2, 3, 4, 5, 6, 7}

Additional information

An imbalanced version of the Glass Identification data set, where there are some classes with a small number of examples while other classes have a large number of examples.

Files and additional references

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