Spam E-mail Data

Description

The data consist of 4601 email items, of which 1813 items were identified as spam. This is a subset of the full dataset, with six only of the 57 explanatory variables in the complete dataset.

Usage

spam7

Format

Columns included are:

crl.tot

total length of uninterrupted sequences of capitals

dollar

Occurrences of ‘$’, as percent of total number of characters

bang

Occurrences of ‘!’, as percent of total number of characters

money

Occurrences of ‘money’, as percent of total number of words

n000

Occurrences of the string ‘000’, as percent of total number of words

make

Occurrences of ‘make’, as % of total number of words

yesno

outcome variable, a factor with levels n not spam, y spam

Source

George Forman, Hewlett-Packard Laboratories

The complete dataset, and documentation, are available from Spam database

Examples

require(rpart)
spam.rpart <- rpart(formula = yesno ~ crl.tot + dollar + bang +
   money + n000 + make, data=spam7)
plot(spam.rpart)
text(spam.rpart)