Tree Induction for Probability-Based Ranking.

Tree induction is one of the most effective and widely used methods for building classification models. However, many applications require cases to be ranked by the probability of class membership. Probability estimation trees (PETs) have the same attractive features as classification trees (e.g., c...

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Bibliographic Details

Published in:	Machine learning. 52, 3 (2003).
Main Author:	Provost, Foster
Format:	Article
Language:	English
Subjects:	Ranking. Probability. Estimation. Classification. Cost-sensitive learning. Decision trees. Laplace correction. Bagging.