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

Solar Flare (2) data set

Description
Files and additional references

Description

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

General information

Solar Flare (2) data set
Type	Classification	Origin	Real world
Features	11	(Real / Integer / Nominal)	(0 / 0 / 11)
Instances	1066	Classes	6
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
LargestSpotSize	{A, R, S, X, K, H}	BecomeHist	{1, 2}
SpotDistribution	{X, O, I, C}	Area	{1, 2}
Activity	{1, 2}	C-class	{0, 1, 2, 3, 4, 5, 6, 7, 8}
Evolution	{1, 2, 3}	M-class	{0, 1, 2, 3, 4, 5}
Prev24Hour	{1, 2, 3}	X-class	{0, 1, 2}
HistComplex	{1, 2}	Class	{H, D, C, B, E, F}

Additional information

This is a modified version of the Solar Flare data set (Version 2) present at the UCI repository. The first attributes of the original data set (modified Zurich class) is now the Class attribute, the three predictor classes has been added as attributes, and the original attribute Area-of-the-largest-spot has been removed.

Files and additional references

In this section you can download some files related to the flare 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/Solar+Flare.