Does the optimal max depth change after performing feature selection?

Nov 25, 2017 ... The thumb rule is to have a max depth of roughly log (base 2) of number of attributes. So if you indeed have tree(s) with depth 17000 (!!!), you are getting ... Apr 25, 2021 ... Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very ... `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 ... Sep 9, 2007 ... maximum tree depth smoothes the decision map and subsequently decreases ... Max. Min. Mean. Min. Max. Mean. Median. Leaves. Nodes. 1. 1. 1.00. May 26, 2023 ... To do so, we derive a problem-independent upper bound on the proposed distance metric for given maximum allowable tree depth D: Proposition 2. 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. Find the optimal depth for the Decision Tree model and evaluate performance. ... reshape(-1,)) print("Decision Tree max depth {:}".format(best_depth)) print ... LightGBM, an algorithm built on decision tree methodologies, is an ... Max depth: Controls tree depth and manages model overfitting. Decreases max ... By setting the maximum depth of a decision tree, you can effectively manage ... When we restrict the maximum depth of the decision tree, other ... Dec 21, 2020 ... learnt during model training. variable. restricting the trees to a maximum depth of four nodes yields an average predictive performance of 95.6% ...