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

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

Haberman (Imbalanced) data set
Type	Imbalanced	Origin	Real world
Features	3	(Real / Integer / Nominal)	(0 / 3 / 0)
Instances	306	IR	2.78
% Positive instances	26.46	% Negative instances	73.54
Missing values?	No

A imbalanced version of the Haberman data set, where the classes has been renamed to positive and negative.

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