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

Wisconsin (Imbalanced) data set

Description
Files and additional references

Description

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

General information

Wisconsin (Imbalanced) data set
Type	Imbalanced	Origin	Real world
Features	9	(Real / Integer / Nominal)	(0 / 9 / 0)
Instances	683	IR	1.86
% Positive instances	34.97	% Negative instances	65.03
Missing values?	No

Attribute description

Attribute	Domain
ClumpThickness	[1, 10]
CellSize	[1, 10]
CellShape	[1, 10]
MarginalAdhesion	[1, 10]
EpithelialSize	[1, 10]
BareNuclei	[1, 10]
BlandChromatin	[1, 10]
NormalNucleoli	[1, 10]
Mitoses	[1, 10]
Class	{positive,negative}

Additional information

A imbalanced version of the Wisconsin data set, where the classes has been renamed to positive and negative. Moreover, instances with missing values have been removed.

Files and additional references

In this section you can download some files related to the wisconsin 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 .