spam7: Spam E-mail Data

In NumbersInternational/flipTrees: Tools for classification and regression trees

Spam E-mail Data

Description

The data consist of 4601 email items, of which 1813 items were identified as spam.

Format

This data frame contains the following columns:

• crl.tot: total length of words in capitals

• dollar: number of occurrences of the $ symbol

• bang: number of occurrences of the ! symbol

• money: number of occurrences of the word ‘money’

• n000: number of occurrences of the string ‘000’

• make: number of occurrences of the word ‘make’

• yesno: outcome variable, a factor with levels n not spam, y spam

Details

spam7

Source

George Forman, Hewlett-Packard Laboratories

These data are available from the University of California at Irvine Repository of Machine Learning Databases and Domain Theories. The address is: https://archive.ics.uci.edu/ml/index.php

Also available in the DAAG R package.

John H. Maindonald and W. John Braun (2019). DAAG: Data Analysis and Graphics Data and Functions. R package version 1.22.1. https://CRAN.R-project.org/package=DAAG

Examples

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

NumbersInternational/flipTrees documentation built on Feb. 26, 2024, 6:45 a.m.