When might it be acceptable to use an unlimited max depth? How does the type of problem (classification vs. regression) affect the choice of max depth?

Feb 8, 2024 ... Bounds on depth of decision trees derived from decision rule systems with discrete attributes ... decision rules via maximum satisfiability. IEEE ... By default a tree of maximum depth of 2 is fitted to improve interpretability. To learn more about global surrogate models, read the Interpretable Machine ... The maximum depth of each tree in the forest. Depth is another way of saying the number of rules each tree is allowed to create to come to a decision. Trees ... Aug 21, 2019 ... Tree depth is a measure of how many splits a tree can make before coming to a prediction. This process could be continued further with more ... Aug 24, 2020 ... I implemented Decision Tree and Random Forest classifiers ... maxDepth`: The maximum depth the tree is allowed to reach. When this ... Perform classification and regression using decision trees. Usage ... Maximum depth of the tree (>= 0); that is, the maximum number of nodes ... Jun 29, 2020 ... Dtreeviz Decision Tree with max depth 3 from Random Forest. Summary. I show you how to visualize the single Decision Tree from the Random Forest ... Dec 13, 2019 ... By default, MAXBRANCH=2. MAXDEPTH=number. specifies the maximum depth of the tree to be grown. The default is set using the following equation ... Thanks! The model is a DecisionTree object. maxdepth defines the max Depth of the final tree generated. import Base.convert function ... An integer for the maximum depth of any node of the final tree, with the root node counted as depth 0. Values greater than 30 rpart will give nonsense results ...