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

Ecoli Multi-class Imbalanced data set

Description
Files and additional references

Description

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

General information

Ecoli Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	7	(Real / Integer / Nominal)	(7 / 0 / 0)
Instances	336	IR	71.5
% Positive instances	1.38	% Negative instances	98.62
Missing values?	No

Attribute description

Attribute	Domain
mcg	[0.0, 0.89]
gvh	[0.16, 1.0]
lip	[0.48, 1.0]
chg	[0.5, 1.0]
aac	[0.0, 0.88]
alm1	[0.03, 1.0]
alm2	[0.0, 0.99]
class	{cp, im, pp, imU, om, omL, imL, imS}

Additional information

An imbalanced version of the Ecoli 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 ecoli 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 .