https://communities.sas.com/t5/SAS-Data-Science/Decision-trees-for-beginners/m-p/61727#M367 You might want to run PROC ARBOR directly, which is the background procedure for the Decision Tree node in EM. Please refer to the documentation <A href="http://support.sas.com/documentation/onlinedoc/miner/em43/proc_arbor.pdf" target="_blank">http://support.sas.com/documentation/onlinedoc/miner/em43/proc_arbor.pdf</A>. This is an olde version, but is still mostly valid.<BR /> <BR /> For your case, the following generic code should work.<BR /> <BR /> proc arbor data=;<BR /> input ...;<BR /> target disease;<BR /> save importance=;<BR /> score data= out=;<BR /> quit;<BR /> <BR /> The SAVE IMPORTANCE= dataset contains variable importance results based on splits. The SCORE OUT= dataset contains the output results such as predictions for the score dataset DATA=. Mon, 09 Aug 2010 17:57:24 GMT deleted_user 2010-08-09T17:57:24Z https://communities.sas.com/t5/SAS-Data-Science/Decision-trees-for-beginners/m-p/61726#M366 Dear All,<BR /> in order to get started with decision trees I would like to ask my computer to produce a decision tree from a data set with one dependent variable (disease yes/no) and several independent variables (usually I would run logistic regression for these data). The tree should "decide" which variables are important risk factors for the disease. Any hints for a bloody beginner in decision trees but fairly experienced SAS user (no access to SAS enterprise miner)?<BR /> Thanks in advance Mon, 09 Aug 2010 10:16:00 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-trees-for-beginners/m-p/61726#M366 deleted_user 2010-08-09T10:16:00Z https://communities.sas.com/t5/SAS-Data-Science/Decision-trees-for-beginners/m-p/61727#M367 You might want to run PROC ARBOR directly, which is the background procedure for the Decision Tree node in EM. Please refer to the documentation <A href="http://support.sas.com/documentation/onlinedoc/miner/em43/proc_arbor.pdf" target="_blank">http://support.sas.com/documentation/onlinedoc/miner/em43/proc_arbor.pdf</A>. This is an olde version, but is still mostly valid.<BR /> <BR /> For your case, the following generic code should work.<BR /> <BR /> proc arbor data=;<BR /> input ...;<BR /> target disease;<BR /> save importance=;<BR /> score data= out=;<BR /> quit;<BR /> <BR /> The SAVE IMPORTANCE= dataset contains variable importance results based on splits. The SCORE OUT= dataset contains the output results such as predictions for the score dataset DATA=. Mon, 09 Aug 2010 17:57:24 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-trees-for-beginners/m-p/61727#M367 deleted_user 2010-08-09T17:57:24Z