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

Statlog (Heart) data set

Description
Files and additional references

Description

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

General information

Statlog (Heart) data set
Type	Classification	Origin	Real world
Features	13	(Real / Integer / Nominal)	(1 / 12 / 0)
Instances	270	Classes	2
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
Age	[29, 77]	MaxHeartRate	[71, 202]
Sex	[0, 1]	ExerciseInduced	[0, 1]
ChestPainType	[1, 4]	Oldpeak	[0.0, 62.0]
RestBloodPressure	[94, 200]	Slope	[1, 3]
SerumCholestoral	[126, 564]	MajorVessels	[0, 3]
FastingBloodSugar	[0, 1]	Thal	[3, 7]
ResElectrocardiographic	[0, 2]	Class	{1, 2}

Additional information

This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form. The task is to detect the absence (1) or presence (2) of heart disease.

Files and additional references

In this section you can download some files related to the heart 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+%28Heart%29.