Ensemble classification methods with applications in R / edited by Esteban Alfaro, Matías Gámez and Noelia García.
Material type: TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2019Copyright date: ©2019Description: 1 online resource (xix, 200 pages)Content type:- text
- computer
- online resource
- 9781119421573
- 1119421578
- 9781119421559
- 1119421551
- 006.3/1 23
- Q325.5 .E568 2019
Includes bibliographical references and index.
Limitation of the individual classifiers -- Ensemble classifiers methods -- Classification with individual and ensemble trees in R -- Bankrupcty prediction through ensemble trees -- Experiments with adabag in biology classification tasks -- Generalization bounds for ranking algorithms -- Classification and regression trees for analysing irrigation decisions -- Boosted rule learner and its properties -- Credit scoring with individuals and ensemble trees -- An overview of multiple classifier systems based on Generalized Additive Models.
Description based on online resource; title from digital title page (viewed on October 17, 2018).
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