A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
This package contains a collection of real-world datasets and functions for creating artificial datasets that work as benchmarks for machine learning methods. Most datasets have been taken from the UCI Repository of Machine Learning Databases. See the corresponding help files for original data sources. Some conversions are done for smoother usage in R (like conversions to factors), all changes are recorded in file Data-Administration.R.