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

Proteins data set data set

Description
Files and additional references

Description

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

General information

Proteins data set data set
Type	Multi label	Origin	Real world
Features	1186	(Real / Integer / Nominal)	(0 / 0 / 1186)
Instances	662	Classes	27
Missing values?			No

Additional information

The protein classes considered in are the 27 most important protein families. For clarity of presentation, the Prosite documentation ID, i.e. the PDOCxxxxx number was used to represent that class. Similarly, the Prosite access number i.e. the PSxxxxx was used to represent that motif pattern or profile. During the preprocessing, a training set was exported, consisting of 662 proteins that belong in barely 27 classes. Some proteins belonged in more than one class, thus the problem could be defined as a multi-label classification problem.

Files and additional references

In this section you can download some files related to the genbase 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 Mulan repository. The original page where the data set can be found is: http://mulan.sourceforge.net/datasets.html.