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

This section describes main characteristics of the glass-0-4_vs_5 data set and its attributes:

Glass Identification (Imbalanced: 0-4 vs 5) data set
Type	Imbalanced	Origin	Real world
Features	9	(Real / Integer / Nominal)	(9 / 0 / 0)
Instances	92	IR	9.22
% Positive instances	9.78	% Negative instances	90.22
Missing values?	No

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

In this section you can download some files related to the glass-0-4_vs_5 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 .