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 — b 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. A (MTRY=) is the R/Python naming convention but is not the SAS PROC HPFOREST option name.
Full Explanation
B 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. A (MTRY=) is the R/Python naming convention but is not the SAS PROC HPFOREST option name. C (NVAR=) is not a valid PROC HPFOREST option. D (RANDOM_FEATURES=) is not a valid SAS option name.