KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

This section describes main characteristics of the segment0 data set and its attributes:

General information

Image Segmentation (Imbalanced: 0) data set
Type	Imbalanced	Origin	Real world
Features	19	(Real / Integer / Nominal)	(19 / 0 / 0)
Instances	2308	IR	6.02
% Positive instances	14.25	% Negative instances	85.75
Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
Region-centroid-col	[1.0, 254.0]	Rawred-mean	[0.0, 137.11111]
Region-centroid-row	[11.0, 251.0]	Rawblue-mean	[0.0, 150.88889]
Region-pixel-count	[9.0, 10.0]	Rawgreen-mean	[0.0, 142.55556]
Short-line-density-5	[0.0, 0.33333334]	Exred-mean	[-49.666668, 9.888889]
Short-line-density-2	[0.0, 0.22222222]	Exblue-mean	[-12.444445, 82.0]
Vedge-mean	[0.0, 29.222221]	Exgreen-mean	[-33.88889, 24.666666]
Vedge-sd	[0.0, 991.7184]	Value-mean	[0.0, 150.88889]
Hedge-mean	[0.0, 44.722225]	Saturatoin-mean	[0.0, 1.0]
Hedge-sd	[-1.5894573E-8, 1386.3292]	Hue-mean	[-3.0441751, 2.9124804]
Intensity-mean	[0.0, 143.44444]	Class	{positive, negative}

Additional information

A imbalanced version of the Image Segmentation data set, where the possitive examples belong to class 1 and the negative examples belong to the rest.