A data scientist applies PROC HPFOREST to a regression problem. Which option in PROC HPFOREST specifies the number of variables randomly considered at each split?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you use VARS_TO_TRY= in PROC HPFOREST to set how many candidate variables are randomly considered at each split. It's the SAS equivalent of the mtry parameter in R's randomForest package.
Full Explanation
VARS_TO_TRY= is correct because PROC HPFOREST uses the VARS_TO_TRY= option to specify the number of candidate variables (features) randomly selected at each node split — equivalent to the 'mtry' parameter in R's randomForest package. The MTRY= option is the R/Python naming convention but is not the SAS PROC HPFOREST option name. The NVAR= option is not a valid PROC HPFOREST option. The RANDOM_FEATURES= option is not a valid SAS option name.