Strategies for Combining Tree-Based Ensemble Models

Strategies for Combining Tree-Based Ensemble Models

Ensemble models have proved effective in a variety of classification tasks. These models combine the predictions of several base models to achieve higher out-of-sample classification accuracy than the base models. Base models are typically trained using different subsets of training examples and inp...

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Bibliographic Details
Main Author: Zhang, Yi
Format: Others
Published: NSUWorks 2017
Subjects:
ensemble models
model selection
multiple correspondence analysis
predictive models
random forest
extremely randomized tree
and eXtreme gradient boosting model
tree based ensemble model
Computer Sciences
Online Access:http://nsuworks.nova.edu/gscis_etd/1021
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2019&context=gscis_etd

Internet

http://nsuworks.nova.edu/gscis_etd/1021
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2019&context=gscis_etd

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