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

Yeast Multi-class Imbalanced data set

Description
Files and additional references

Description

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

General information

Yeast Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	8	(Real / Integer / Nominal)	(8 / 0 / 0)
Instances	1484	IR	23.15
% Positive instances	4.14	% Negative instances	95.86
Missing values?	No

Attribute description

Attribute	Domain
mcg	[0.11, 1.0]
gvh	[0.13, 1.0]
alm	[0.21, 1.0]
mit	[0.0, 1.0]
erl	[0.5, 1.0]
pox	[0.0, 0.83]
vac	[0.0, 0.73]
nuc	[0.0, 1.0]
Class	{MIT,NUC,CYT,ME1,ME2,ME3,EXC,VAC,POX,ERL}

Additional information

An imbalanced version of the Yeast 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 yeast 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 .