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

This section describes main characteristics of the cleveland-0_vs_4 data set and its attributes:

Heart Disease - Cleveland (Imbalanced: 0 vs 4) data set
Type	Imbalanced	Origin	Real world
Features	13	(Real / Integer / Nominal)	(13 / 0 / 0)
Instances	177	IR	12.62
% Positive instances	7.34	% Negative instances	92.66
Missing values?	No

Attribute	Domain	Attribute	Domain
age	[29.0,77.0]	thalach	[96.0,202.0]
sex	[0.0,1.0]	exang	[0.0,1.0]
cp	[1.0,4.0]	oldpeak	[0.0,4.4]
trestbps	[94.0,180.0]	slope	[1.0,3.0]
chol	[126.0,564.0]	ca	[0.0,3.0]
fbs	[0.0,1.0]	thal	[3.0,7.0]
restecg	[0.0,2.0]	num	{positive, negative}

A imbalanced version of the Cleveland data set, where the possitive examples belong to class 0 and the negative examples belong to the class 4.

In this section you can download some files related to the cleveland-0_vs_4 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 .