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

Adult data set

Description
Files and additional references

Description

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

General information

Adult data set
Type	Classification	Origin	Real world
Features	14	(Real / Integer / Nominal)	(6 / 0 / 8)
Classes	2	Missing values?	Yes
Total instances	48842	Instances without missing values	45222

Attribute description

Attribute	Domain	Attribute	Domain
Age	[17.0, 90.0]	Relationship	{Wife, ..., Unmarried}
Workclass	{Private, ..., Never-worked}	Race	{White, ..., Black}
Fnlwgt	[12285.0, 1490400.0]	Sex	{Female, Male}
Education	{Bachelors, ..., Preschool}	Capital-gain	[0.0, 99999.0]
Education-num	[1.0, 16.0]	Capital-loss	[0.0, 4356.0]
Marital-status	{Married-civ-spouse, ..., Married-AF-spouse}	Hours-per-week	[1.0, 99.0]
Occupation	{Tech-support, ..., Armed-Forces}	Native-country	{United-States, ..., Holand-Netherlands}
Class	{>50K, <=50K}

Additional information

The Adult data set was extracted in 1994 from census data of the United States. It contains continuous and nominal attributes, describing some social information (age, race, sex, marital status, ...) about the citizens registered.

The task is to predict whether the citizen’s income exceeds fifty thousand dollars a year.

Files and additional references

In this section you can download some files related to the adult data set:

The complete data set already formatted in KEEL formatcan 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/Adult.