A decision tree trained with PROC HPSPLIT in SAS has grown too deep and is overfitting. Which pruning approach is available in PROC HPSPLIT?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because PROC HPSPLIT supports pre-pruning through growth-limiting options such as MAXDEPTH= (maximum tree depth) and LEAFSIZE= (minimum observations per leaf), which prevent the tree from growing too deep. B is wrong because PROC HPSPLIT does not offer a PRUNE=COSTCOMPLEXITY option.
Full explanation below image
Full Explanation
A is correct because PROC HPSPLIT supports pre-pruning through growth-limiting options such as MAXDEPTH= (maximum tree depth) and LEAFSIZE= (minimum observations per leaf), which prevent the tree from growing too deep. B is wrong because PROC HPSPLIT does not offer a PRUNE=COSTCOMPLEXITY option. C overstates capabilities — PROC HPSPLIT does not offer post-pruning. D is wrong because PROC HPSPLIT does exist and does support pre-pruning.