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

Vehicle Silhouettes data set

Description
Files and additional references

Description

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

General information

Vehicle Silhouettes data set
Type	Classification	Origin	Real world
Features	18	(Real / Integer / Nominal)	(0 / 18 / 0)
Instances	846	Classes	4
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
Compactness	[73, 119]	Length_rectangular	[118, 188]
Circularity	[33, 59]	Major_variance	[130, 320]
Distance_circularity	[40, 112]	Minor_variance	[184, 1018]
Radius_ratio	[104, 333]	Gyration_radius	[109, 268]
Praxis_aspect_ratio	[47, 138]	Major_skewness	[59, 135]
Max_length_aspect_ratio	[2, 55]	Minor_skewness	[0, 22]
Scatter_ratio	[112, 265]	Minor_kurtosis	[0, 41]
Elongatedness	[26, 61]	Major_kurtosis	[176, 206]
Praxis_rectangular	[17, 29]	Hollows_ratio	[181, 211]
Class	{van, saab, bus, opel}

Additional information

The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

Files and additional references

In this section you can download some files related to the vehicle 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/Statlog+%28Vehicle+Silhouettes%29.