Nautilus Systems, Inc. logo and menu bar Site Index Home
News Books
Button Bar Menu- Choices also at bottom of page About Nautilus Services Partners Case Studies Contact Us
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index] [Subscribe]

Re: [DT] Re: DM: binary vs. multiway splits in classification trees

From: Tjen-Sien Lim
Date: Fri, 26 Mar 1999 17:15:18 -0500 (EST)
   Mailing-List: contact
   Date: Fri, 26 Mar 1999 13:33:28 -0800 (PST)
   From: Dan Steinberg <>
   Content-Type: text/plain; charset=US-ASCII

   An important question for FINITE data sets is which method works 
better in a
   specific context.  The multi-way split is a form of constraint and 
there will be
   occasions in which a constrained tree (multi-way) will outperform 
   unconstrained one (binary). However there will also be many 
circumstances in
   which the constrained tree is worse.

That's exactly what I'm after. I've several data sets (that I really
understand) where binary splits are better. I'm still looking for real
data sets that show multiway splits are preferred. I'll be grateful if
someone is willing to share his/her data. Thanks.

Tjen-Sien Lim                (608) 262-8181                        
Dept. of Statistics
Univ. of Wisconsin-Madison
1210 West Dayton Street       
Madison, WI 53706

[ Home | About Nautilus | Case Studies | Partners | Contact Nautilus ]
[ Subscribe to Lists | Recommended Books ]

logo Copyright © 1999 Nautilus Systems, Inc. All Rights Reserved.
Mail converted by MHonArc 2.2.0