BookmarkSubscribeRSS Feed
jlevine
Fluorite | Level 6
When using Decision Trees to do variable selection for neural networks, does anyone have suggestions on settings to use to get the best results? What would lead to more variables being selected, or more interaction effects being found?
1 REPLY 1
JThompson
SAS Employee
Try setting "number of surrogate rules" to 1 and "Method" to largest in the properties panel of the tree node. These settings should allow for several variables to be picked by the tree and allows variables not explicitly picked by the tree (surrogates) to be used as well.

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 866 views
  • 0 likes
  • 2 in conversation