Does the optimal max depth differ depending on the metric being optimized (e.g., accuracy, precision, recall, F1-score, AUC)?

This value defaults to 20 . min_rows: Specify the minimum number of observations for a leaf. This value defaults to 10 . Following above rules to grow tree nodes, until reach stopping rules: a.The node depth is equal to the maxDepth training parameter. b.No split candidate leads ... Apr 20, 2018 ... From here, it shows that maxDepth = 0 means that each decision tree has unlimited depth, which seems a likely reason my your model is huge. Sep 29, 2023 ... In this video, I'll be going over the Extra Trees Classifier, a versatile algorithm for solving classification problems. Jan 18, 2023 ... ... tree.DecisionTreeClassifier as you search for an optimal max depth parameter. Vary the depth of your decision tree using max depth = 1,2,. . . , ... Maximum Tree Depth. Controls the maximum number of levels of growth beneath ... In the main Decision Tree dialog, click Criteria. Click the Growth ... Aug 19, 2020 ... The regularization hyperparameters depend on the algorithm used, but generally, you can at least restrict the maximum depth of the Decision Tree ... Including number of levels (maximal depth) and number of nodes in a tree. ... Training a decision tree and training a random forest of decision trees. Nov 29, 2020 ... MATLAB's function, fitctree has name-value arguement to control the maximum number of branch node splits, the minimum leaf size and the minimum parent node ... But it is possible to continue further with a max depth of 3 and the decision boundaries (several for each branch) would be the dotted vertical lines. We could ...