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

Connectionist Bench (Vowel Recognition - Deterding Data) data set

Description
Files and additional references

Description

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

General information

Connectionist Bench (Vowel Recognition - Deterding Data) data set
Type	Classification	Origin	Real world
Features	13	(Real / Integer / Nominal)	(10 / 3 / 0)
Instances	990	Classes	11
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
TT	[0, 1]	F4	[-2.127, 1.831]
SpeakerNumber	[0, 14]	F5	[-0.836, 2.327]
Sex	[0, 1]	F6	[-1.537, 1.403]
F0	[-5.211, -0.941]	F7	[-1.293, 2.039]
F1	[-1.274, 5.074]	F8	[-1.613, 1.309]
F2	[-2.487, 1.431]	F9	[-1.68, 1.396]
F3	[-1.409, 2.377]	Class	{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

Additional information

This database contains information about speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.

This version is a merge of the two original databases preset at the UCI repository.

Files and additional references

In this section you can download some files related to the vowel 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/Connectionist+Bench+%28Vowel+Recognition+-+Deterding+Data%29.