When using the SAS Viya decisionTree.dtreeTrain CAS action, which parameter controls the minimum number of training observations required before a node will be split?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because minUseInSearch= in the dtreeTrain CAS action specifies the minimum number of observations that a node must contain before it is considered for splitting during tree growth. Nodes with fewer observations than this threshold are not split, acting as a pre-pruning mechanism.
Full explanation below image
Full Explanation
B is correct because minUseInSearch= in the dtreeTrain CAS action specifies the minimum number of observations that a node must contain before it is considered for splitting during tree growth. Nodes with fewer observations than this threshold are not split, acting as a pre-pruning mechanism. A (maxLevel=) controls maximum tree depth. C (leafSize=) is a PROC HPSPLIT option name; in the CAS action the equivalent is minUseInSearch=. D (pruneMethod=) controls the post-pruning algorithm, not the splitting threshold.