https://communities.sas.com/t5/SAS-Data-Science/Decision-Trees-for-Variable-Selection/m-p/8255#M2 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. Thu, 09 Jun 2011 15:32:36 GMT JThompson 2011-06-09T15:32:36Z https://communities.sas.com/t5/SAS-Data-Science/Decision-Trees-for-Variable-Selection/m-p/8254#M1 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? Tue, 07 Jun 2011 12:43:09 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-Trees-for-Variable-Selection/m-p/8254#M1 jlevine 2011-06-07T12:43:09Z https://communities.sas.com/t5/SAS-Data-Science/Decision-Trees-for-Variable-Selection/m-p/8255#M2 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. Thu, 09 Jun 2011 15:32:36 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-Trees-for-Variable-Selection/m-p/8255#M2 JThompson 2011-06-09T15:32:36Z