Decision Tree Learning

By Shan Suthaharan. 2016

311 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c8c30dff7ace5afb61650c71d63eeff85c43e090

Citations in the corpus

• A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation (2023, unknown): “Decision trees [60, 61] implement a tree-like model of decisions and their possible consequences based on measures such as entropy and information gain and also enable regularisation methods such as pruning [62].”