MARS3.6-BAG-1

MARS with bagging

A bagged version of the Multivariate Adaptive Regression Splines (MARS) method of Friedman has been tested in Delve. This method is a fairly well known method for non-linear regression for high dimensional data from the statistics community. Both hypertext (generated by LaTeX2HTML) and postscript descriptions of the method are available. As well, the source code for the implementation (including the documentation) is available as a compressed tar file.

Results

Results are available from running mars3.6-bag-1 on most of the Delve datasets. You can either retrieve all of the results for mars3.6-bag-1 as one large file, or you can retrieve the results for each dataset individually.

You can also get statistics that summarize the results by running mstats, but be warned, the server is very slow. Finally, you may want to jump to the dataset information pages to find out more about them, or what other methods have been run on them.

Results are available for the following datasets:

The kin family of datasets

kin-32fh: Results, statistics, or dataset info.
kin-32fm: Results, statistics, or dataset info.
kin-32nh: Results, statistics, or dataset info.
kin-32nm: Results, statistics, or dataset info.
kin-8fh: Results, statistics, or dataset info.
kin-8fm: Results, statistics, or dataset info.
kin-8nh: Results, statistics, or dataset info.
kin-8nm: Results, statistics, or dataset info.

The pumadyn family of datasets

pumadyn-32fh: Results, statistics, or dataset info.
pumadyn-32fm: Results, statistics, or dataset info.
pumadyn-32nh: Results, statistics, or dataset info.
pumadyn-32nm: Results, statistics, or dataset info.
pumadyn-8fh: Results, statistics, or dataset info.
pumadyn-8fm: Results, statistics, or dataset info.
pumadyn-8nh: Results, statistics, or dataset info.
pumadyn-8nm: Results, statistics, or dataset info.

Individual Datasets

demo: Results for the age and income prototasks, statistics, or dataset info.

Last Updated by Drew van Camp, May 17, 1996