[R] Re: nnet classification accuracy vs. other models

[Volker Bahn]

I believe the paper below did a comparison relevant to your question but
possibly not exactly what you are asking (I'm not sure that nnet is
artificial neural networks - on of the techniques compared in the paper).

Hope this helps

Volker

Moisen G. G., and T. S. Frescino. 2002. Comparing five modelling techniques
for predicting forest characteristics. Ecological Modelling
157(2-3):209-225.

_______________________________

Volker Bahn

Dept. of Wildlife Ecology - Rm. 210
University of Maine
5755 Nutting Hall
Orono, Maine
04469-5755, USA
Tel. (207) 581 2799
Fax: (207) 581 2858
volker.bahn at umit.maine.edu
http://www.wle.umaine.edu/used_text%20files/Volker%20Bahn/home.htm


----- Original Message ----- 
From: "Albedo" <albedo at pisem.net>
To: <r-help at stat.math.ethz.ch>; <s-news at lists.biostat.wustl.edu>
Sent: Saturday, March 13, 2004 16:06
Subject: nnet classification accuracy vs. other models


| I was wandering if anybody ever tried to compare the classification
| accuracy of nnet to other (rpart, tree, bagging) models. From what I
| know, there is no reason to expect a significant difference in
| classification accuracy between these models, yet in my particular case
| I get about 10% error rate for tree, rpart and bagging model and 80%
| error rate for nnet, applied to the same data.
|
| Thanks.
|