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

Pen-Based Recognition of Handwritten Digits Multi-class Imbalanced data set

Description
Files and additional references

Description

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

General information

Pen-Based Recognition of Handwritten Digits Multi-class Imbalanced data set
Type	Imbalanced	Origin	Real world
Features	16	(Real / Integer / Nominal)	(16 / 0 / 0)
Instances	1100	IR	1.95
% Positive instances	33.9	% Negative instances	66.1
Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
at1	[0.0, 100.0]	at9	[0.0, 100.0]
at2	[0.0, 100.0]	at10	[0.0, 100.0]
at3	[0.0, 100.0]	at11	[0.0, 100.0]
at4	[0.0, 100.0]	at12	[0.0, 100.0]
at5	[0.0, 100.0]	at13	[0.0, 100.0]
at6	[0.0, 100.0]	at14	[0.0, 100.0]
at7	[0.0, 100.0]	at15	[0.0, 100.0]
at8	[0.0, 100.0]	at16	[0.0, 100.0]
class	{0, 1, 2, 3, 4, 5, 6, 7, 8, 9}

Additional information

An imbalanced version of the Pen-Based Recognition of Handwritten Digits 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 penbased 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 .