Decision tree Machine Learning
noun phrase
Definition 1: A supervised learning model that implements recursive partitioning of the feature space, with prediction performed by traversing the tree structure [ISO/IEC 22989:2022].
Example in context: “A machine learning (ML) approach, specifically a decision tree, was developed to classify tree species based on the peak reflectance values of the MAPL waveforms.” [Hu et al. 2024]
Definition 2: A tree-based modeling family underlying ensemble methods such as Random Forest and Gradient Boosted Trees, where multiple decision trees are constructed and combined for prediction [Machine Learning Glossary].
Example in context: “Therefore, in this study, the authors proposed an improved random forest based on the classification accuracy and correlation measurement of decision trees, which considered the improvement of classification effects of decision trees and the diversities between decision trees at the same time, and committed to constructing a random forest with good generalization ability and classification effect.” [Sun et al. 2024]
Synonym: classification tree; tree-based model
Related terms: random forest, gradient boosted trees, decision stump, node, split, feature space, supervised learning