BayesLogit (version 0.3)

spambase: Spambase Data

Description

The spambase data has 57 real valued explanatory variables which characterize the contents of an email and and one binary response variable indicating if the email is spam. There are 4601 observations.

format

A data frame: the first column is a binary response variable indicating if the email is spam. The remaining 57 columns are real valued explanatory variables.

code

names

Details

Of the 57 explanatory variables, 48 describe word frequency, 6 describe character frequency, and 3 describe sequences of capital letters.

[object Object],[object Object],[object Object]

References

Mark Hopkins, Erik Reeber, George Forman, and Jaap Suermondt of Hewlett-Packard Labs (1999). Spambase Data Set. http://archive.ics.uci.edu/ml/datasets/Spambase

Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.