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...

ver descrição completa

Detalhes bibliográficos
Publicado no:Machine learning. 52, 3 (2003).
Autor principal: Provost, Foster
Formato: Artigo
Idioma:English
Assuntos: