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 and Infographic
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 below image
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.