2019-07-04T11:18:16 n195

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: confusion or loss matrix - classification of observed versus predicted presence and absences from the Bayesian CART model

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This dataset was gathered to predict the spatial distribution of the cryptosporidiosis infection using selected social-ecological factors and climate variables. Predictions were completed using a Bayesian CART (Classification and Regression Trees) model.

The dataset presents the confusion or loss matrix – classification of observed versus predicted presence (‘Yes’) and absences (‘No’) from the Bayesian CART model.

Location of data collection

kmlPolyCoords
153.552920,-9.929730 137.994575,-9.929730 137.994575,-29.178588 153.552920,-29.178588 153.552920,-9.929730

Publications

Hu, Wen, O'Leary, Rebecca, Mengersen, Kerrie, & Low-Choy, Sama (2011) Bayesian Classification and regression trees for predicting incidence of cryptosporidiosis. PLoS ONE, 6(8), pp. 1-8. http://eprints.qut.edu.au/52459/

Research areas

Infectious diseases
Classification
Spatial distribution
Cryptosporidium
Decision trees
Bayes theorem
Bayesian
Absences
Observed
Probability distribution
Cryptosporidiosis
Matrix

Cite this collection

Hu, Wenbiao; O'Leary, Rebecca A.; Mengersen, Kerrie; Choy, Samantha Low (2013): Confusion or loss matrix – classification of observed versus predicted presence (‘Yes’) and absences (‘No’) from Bayesian CART model. Table_1.xls. PLOS ONE.

Related information

Rebecca O'Leary, Research collaborator http://goo.gl/LqhdR6

Access the data

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© 2011 Hu et al.

Dates of data collection

From 2001 to 2011

Connections

Was collected by
Kerrie Mengersen  (Researcher)
Sama Low Choy  (Researcher)
Wenbiao Hu  (Researcher)

Contacts

Name: Dr Wenbiao Hu

Other

Date record created:
2014-07-02T15:01:58
Date record modified:
2019-07-04T11:18:16
Record status:
Published - Open Access