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 data set

Description
Files and additional references

Description

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

General information

Ecoli data set
Type	Classification	Origin	Real world
Features	7	(Real / Integer / Nominal)	(7 / 0 / 0)
Instances	336	Classes	8
Missing values?			No

Attribute description

Attribute	Domain
Mcg	[0.0,89.0]
Gvh	[1.0,88.0]
Lip	[1.0,48.0]
Chg	[1.0,5.0]
Aac	[0.0,88.0]
Alm1	[1.0,94.0]
Alm2	[0.0,99.0]
Site	{cp,im,imS,imL,imU,om,omL,pp}

Additional information

The objective of this problem is to predict the localization site of proteins by employing some measures about the cell (cytoplasm, inner membrane, perisplasm, outer membrane, outer membrane lipoprotein, inner membrane lipoprotein inner membrane, cleavable signal sequence).

To asses the data to classification process, the first attribute of the original data set (the sequence name) has been removed in this version

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 10-folds cross validation procedure 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 .
This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Ecoli.