https://communities.sas.com/t5/SAS-Data-Science/Decision-Tree-Output-difference-between-quot-Validated-Target-B/m-p/320041#M4810 <P>The V_ variables are the predictions based on the validation data - so the proportion of validation obs. in the leaf with target=B1 for whatever leaf the current observation is in. &nbsp;The P_ is the same thing but using the training partition, and the actual prediction is based on this value.</P> Mon, 19 Dec 2016 21:21:10 GMT WendyCzika 2016-12-19T21:21:10Z https://communities.sas.com/t5/SAS-Data-Science/Decision-Tree-Output-difference-between-quot-Validated-Target-B/m-p/319931#M4809 Hello,<BR />I'd be grateful to have some clarity regarding these two variables that are created after running a Decision Tree to predict a binary target,-<BR />1) label "Validated:Target_B=1" with Variable name "V_TARGET_B1" and,<BR />2)label "Predicted:Target_B=1" with Variable name "P_TARGET_B1"<BR />There seems to be a small difference between the above two p values mostly corresponding to the third digit after the decimal. What is the difference between these variables. I find them in both the training and the validation datasets of the output.<BR />Thanks in advance,<BR />Ravi. Mon, 19 Dec 2016 14:48:12 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-Tree-Output-difference-between-quot-Validated-Target-B/m-p/319931#M4809 ravi4 2016-12-19T14:48:12Z https://communities.sas.com/t5/SAS-Data-Science/Decision-Tree-Output-difference-between-quot-Validated-Target-B/m-p/320041#M4810 <P>The V_ variables are the predictions based on the validation data - so the proportion of validation obs. in the leaf with target=B1 for whatever leaf the current observation is in. &nbsp;The P_ is the same thing but using the training partition, and the actual prediction is based on this value.</P> Mon, 19 Dec 2016 21:21:10 GMT https://communities.sas.com/t5/SAS-Data-Science/Decision-Tree-Output-difference-between-quot-Validated-Target-B/m-p/320041#M4810 WendyCzika 2016-12-19T21:21:10Z