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

dataset/images/glass-0-1-2-3_vs_4-5-6.jpg

Glass Identification (Imbalanced: 0-1-2-3 vs 4-5-6) data set

Description
Files and additional references

Description

This section describes main characteristics of the glass-0-1-2-3_vs_4-5-6 data set and its attributes:

General information

Glass Identification (Imbalanced: 0-1-2-3 vs 4-5-6) data set
Type	Imbalanced	Origin	Real world
Features	9	(Real / Integer / Nominal)	(9 / 0 / 0)
Instances	214	IR	3.2
% Positive instances	23.81	% Negative instances	76.19
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]
Class	{positive, negative}

Additional information

A imbalanced version of the Glass data set, where the possitive examples belong to classes 0, 1, 2 and 3 and the negative examples belong to classes 4,5 and 6.

Files and additional references

In this section you can download some files related to the glass-0-1-2-3_vs_4-5-6 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 .