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 Silhouttes (Imbalanced: 2) data set

Description
Files and additional references

Description

This section describes main characteristics of the vehicle2 data set and its attributes:

General information

Vehicle Silhouttes (Imbalanced: 2) data set
Type	Imbalanced	Origin	Real world
Features	18	(Real / Integer / Nominal)	(0 / 18 / 0)
Instances	846	IR	2.88
% Positive instances	25.77	% Negative instances	74.23
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	{positive,negative}

Additional information

A imbalanced version of the Vehicle Silhouettes data set, where the possitive examples belong to class 2 (Bus) and the negative examples belong to the rest.

Files and additional references

In this section you can download some files related to the vehicle2 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 .