Package: mlbench
Version: 0.3-2
Author: Written/packaged by Fritz Leisch <Friedrich.Leisch@ci.tuwien.ac.at>
Original data sets from various sources.
Description: A collection of artificial and real-world machine learning
benchmark problems, including, e.g., the boston housing
data from the UCI repository.
License: Free for non-commercial purposes. See the file README and the
help pages of the data sets for details.

Package: mlbench
Version: 0.4-1
Author: Written/packaged by Fritz Leisch <Friedrich.Leisch@ci.tuwien.ac.at>
and Evgenia Dimitriadou <E.Dimitriadou@ci.tuwien.ac.at>
Original data sets from various sources.
Description: A collection of artificial and real-world machine learning
benchmark problems, including, e.g., the boston housing
data from the UCI repository.
License: Free for non-commercial purposes. See the file README and the
help pages of the data sets for details.

Package: mlbench
Version: 0.4-3
Title: Machine Learning Benchmark Problems
Date: 2000/12/11
Author: Written/packaged by Fritz Leisch <Friedrich.Leisch@ci.tuwien.ac.at>
and Evgenia Dimitriadou <E.Dimitriadou@ci.tuwien.ac.at>
Original data sets from various sources.
Description: A collection of artificial and real-world machine learning
benchmark problems, including, e.g., the boston housing
data from the UCI repository.
License: Free for non-commercial purposes. See the file README and the
help pages of the data sets for details.

benchmark problems, including, e.g., the Boston housing

benchmark problems, including, e.g., several

Packaged: Tue Feb  3 11:51:28 2004; leisch

Packaged: Fri May 20 11:13:47 2005; leisch

Packaged: Tue Aug 30 10:44:13 2005; leisch

Packaged: Tue May 23 09:08:26 2006; hornik

Author: Friedrich Leisch and Evgenia Dimitriadou.
Packaged: Mon Oct  9 18:39:16 2006; leisch

Packaged: Fri Jun  1 15:46:27 2007; leisch

Packaged: Wed Jul  2 14:35:47 2008; leisch

Packaged: Mon Jan 12 15:26:56 2009; leisch

Packaged: Thu Feb  5 15:07:01 2009; hornik

Author: Friedrich Leisch and Evgenia Dimitriadou. Original data sets
benchmark problems, including, e.g., several data sets from the