Are there any techniques to improve the interpretability of deeper decision trees? How does max depth affect the sensitivity of a decision tree to small perturbations in the training data?

It supports a maximum depth constraint and a minimum support constraint, but only works for binary classification tasks. It also relies on branch-and-bound ... Perform classification and regression using decision trees. Usage ... Maximum depth of the tree (>= 0); that is, the maximum number of nodes ... maxDepth : Maximum depth of a tree. Deeper trees are more expressive (potentially allowing higher accuracy), but they are also more costly to train and are more ... Aug 8, 2017 ... ## model parameter label forReg forClass probModel ## 1 rpart2 maxdepth Max Tree Depth TRUE TRUE TRUE. xgboost eXtreme Gradient Boosting. ... depth of resulting decision trees: MaxNumSplits — The maximal number of branch node splits is MaxNumSplits per tree. Set a large value for MaxNumSplits to ... Apr 11, 2025 ... The maximum depth of the selection tree is a critical parameter that influences the version's complexity. When set to None, the tree continues ... The INPUT statement specifies predictor variables for the decision tree or regression tree ... The MAXDEPTH= option specifies the maximum depth of the tree to be ... Maximum Tree Depth: Limiting the maximum depth of the tree. Minimum Node Records: No more partitioning if less than a threshold number of records. Node Purity: ... Jul 11, 2017 ... After using the PROC HPSPLIT, a decision tree with at depth of 10 is returned. ... proc hpsplit data=x.hmeq seed=123 maxdepth=10 plots ... `learning_rate` that determines the contribution of each tree; `n_estimatorst` dictates the number of decision trees; `max_depth` is the maximum depth of each ...