How does max depth relate to the concept of Occam's razor in model selection? Is a simpler model (shallower tree) always better if it performs similarly to a more complex one?

Mar 4, 2022 ... Owing to the fact that the number of useful features is too large, the max depth of the decision tree is fixed at 3 for better visualization. max_depth : int or None, optional (default=None) or Maximum Depth of a Tree. The maximum depth of the tree. If None, then nodes are expanded until all the ... The root node is considered to have a depth of 0. The Max Depth value cannot exceed 30 on a 32-bit machine. The default value is 30. Loss Matrix. Weighs the ... In decision tree algorithms, the parameter "max_depth" controls the maximum depth or levels that the tree can grow during the training process. It ... Jun 9, 2011 ... Max number of nodes in a tree. MaxDepth, 100000, -, Max depth of the decision tree allowed. Training. Study the performance of the classifier as ... Apr 13, 2021 ... For example, the optimization output gives me a max depth of 9, whereas inspecting the Decision Tree model output I can see that it only has a ... Jan 18, 2018 ... No! the best score on validation set means you are not in overfitting zone. As explained in my previous answer to your question, ... This value defaults to 20 . min_rows: Specify the minimum number of observations for a leaf. This value defaults to 10 . 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: ... `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 ...