Machine Learning
Decision Tree
Machine Learning· Intermediate
Definition
A supervised learning algorithm that makes predictions by learning a hierarchy of if-then decision rules from training data, represented as a tree structure. Each internal node tests a feature, each branch represents an outcome, and each leaf node provides a prediction. Highly interpretable compared to neural networks.
Enterprise Context
Widely used in credit scoring, fraud detection, and risk assessment where model interpretability is required for regulatory compliance.
Tags
#supervised#interpretable#classification
MS
Maxx Stacks Editorial
Reviewed by enterprise AI practitioners
Maxx University
Keep learning. Keep building.
250+ terms. 5 learning paths. AI maturity assessment. Jargon translator. All free, always.