A predictive model shaped as a tree of yes-or-no questions about an input's features, ending in a leaf that gives a prediction; easy to interpret directly, and the building block of ensemble methods such as random forests.
Facts
Core PrincipleA tree model whose leaves represent class labels and whose branches represent conjunctions of features that lead to those class labels. 1 Connections
Sources
1. Decision tree learning - Wikipedia
Lead section
Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels.
In Group: Machine Learning Models, Lead
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.
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