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 (Imbalanced: 0-1-4-6 vs 2) data set

Description
Files and additional references

Description

This section describes main characteristics of the glass-0-1-4-6_vs_2 data set and its attributes:

General information

Glass Identification (Imbalanced: 0-1-4-6 vs 2) data set
Type	Imbalanced	Origin	Real world
Features	9	(Real / Integer / Nominal)	(9 / 0 / 0)
Instances	205	IR	11.06
% Positive instances	8.29	% Negative instances	91.71
Missing values?	No

Attribute description

Attribute	Domain
RI	[1.51130946,1.53393]
Na	[10.73,15.79065]
Mg	[0.0,4.49]
Al	[0.29,3.5]
Si	[69.81,75.1804]
K	[0.0,6.21]
Ca	[5.43,16.19]
Ba	[0.0,3.15]
Fe	[0.0,0.51]
typeGlass	{positive, negative}

Additional information

A imbalanced version of the Glass data set, where the possitive examples belong to classes 1, 2, 5 and 7 and the negative examples belong to the class 3.

Files and additional references

In this section you can download some files related to the glass-0-1-4-6_vs_2 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 .