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.
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.
Of the 57 explanatory variables, 48 describe word frequency, 6 describe character frequency, and 3 describe sequences of capital letters.
A continuous explanatory variable describing the frequency with which the word <word> appears; measured in percent.
A continuous explanatory variable describing the frequency with which the character <char> appears; measured in percent.
A statistic involving the length of consecutive capital letters.
Use names to see the specific words, characters, or statistics for
each respective class of variable.
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.