Automatically assigned DDC number: 00631
Manually assigned DDC number: 006312

Number of references: 8

Title: On the Induction of Intelligible Ensembles

Author:

Subject: Bernhard Pfahringer On the Induction of Intelligible Ensembles

Description: . Ensembles of classifiers, e.g. decision trees, often exhibit greater predictive accuracy than single classifiers alone. Bagging and boosting are two standard ways of generating and combining multiple classifiers. Unfortunately, the increase in predictive performance is usually linked to a dramatic decrease in intelligibility: ensembles are more or less black boxes comparable to neural networks. So far attempts at pruning of ensembles have not been very successful, approximately reducing ensembles into half. This paper describes a different approach which both tries to keep ensemble-sizes small during induction already and also limits the complexity of single classifiers rigorously. Single classifiers are decisionstumps of a prespecified maximal depth. They are combined by majority voting. Ensembles are induced and pruned by a simple hill-climbing procedure. These ensembles can reasonably be transformed into equivalent decision trees. We conduct some empirical evaluation to investigat...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-03-24

Format: ps

Identifier: http://citeseer.ist.psu.edu/191864.html

Source: ftp://ftp.ai.univie.ac.at/papers/oefai-tr-97-30.ps.Z

Language: en

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