BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
skaminsk
Calcite | Level 5

In my original dataset, the response variable (RESIDUALS) can be less than zero.  However, all the predictions (P_RESIDUALS in data_out) are non-negative.  Where is the setting to allow negative predictions?

 

proc hpsplit data=data_in nodes;
 class DIM1 DIM2;

 model RESIDUALS = DIM1 DIM2;

 grow RSS;
 prune REDUCEDERROR(leaves=8);
 output out=data_out;
 id _Leaf_ DIM1 DIM2;
run;quit;

 

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

Try removing the Leaves= on the PRUNE setting or even test without pruning.

 

Just how common are your negative values? If they are uncommon I would suspect that you may  need a fuller tree to get them.

View solution in original post

1 REPLY 1
ballardw
Super User

Try removing the Leaves= on the PRUNE setting or even test without pruning.

 

Just how common are your negative values? If they are uncommon I would suspect that you may  need a fuller tree to get them.

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

Creating Custom Steps in SAS Studio

Check out this tutorial series to learn how to build your own steps in SAS Studio.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 603 views
  • 2 likes
  • 2 in conversation