adult {liver}R Documentation

adult data set

Description

the adult dataset was collected from the US Census Bureau and the primary task is to predict whether a given adult makes more than $50K a year based attributes such as education, hours of work per week, etc. the target feature is income, a factor with levels "<=50K" and ">50K", and the remaining 14 variables are predictors.

Usage

 data(adult) 

Format

the adult dataset, as a data frame, contains 48598 rows and 15 columns (variables/features). the 15 variables are:

Details

This dataset can be downloaded from the UCI machine learning repository:

http://www.cs.toronto.edu/~delve/data/adult/desc.html

A detailed description of the dataset can be found in the UCI documentation at:

http://www.cs.toronto.edu/~delve/data/adult/adultDetail.html

References

Kohavi, R. (1996). Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid. Kdd.

See Also

risk, churn, churnTel, bank, advertising, marketing, insurance, cereal, housePrice, house

Examples

data(adult)

str(adult)

[Package liver version 1.18 Index]