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".
R6::R6Class inheriting from TaskClassif.
mlr_tasks$get("spam") tsk("spam")
mlr3dua_2017
Dictionary of Tasks: mlr_tasks
as.data.table(mlr_tasks)
for a complete table of all (also dynamically created) Tasks.