Spam data set from the UCI machine learning repository (http://archive.ics.uci.edu/ml/datasets/spambase). Data set collected at Hewlett-Packard Labs to classify emails as spam or non-spam. 57 variables indicate the frequency of certain words and characters in the e-mail. The positive class is set to "spam".
Creators: Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt. Hewlett-Packard Labs, 1501 Page Mill Rd., Palo Alto, CA 94304
Donor: George Forman (gforman at nospam hpl.hp.com) 650-857-7835
Preprocessing: Columns have been renamed. Preprocessed data taken from the kernlab package.
Dua, D. and Graff, C. (2019). UCI Machine Learning Repository http://archive.ics.uci.edu/ml. Irvine, CA: University of California, School of Information and Computer Science.