Data

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

Queensland University of Technology
Adjunct Associate Professor Sama Low Choy (Aggregated by) Distinguished Professor Kerrie Mengersen (Aggregated by) Professor Wenbiao Hu (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://goo.gl/S2iwOB&rft.title=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&rft.identifier=10378.3/8085/1018.15729&rft.publisher=Queensland University of Technology&rft.description=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.&rft.creator=Adjunct Associate Professor Sama Low Choy&rft.creator=Distinguished Professor Kerrie Mengersen&rft.creator=Professor Wenbiao Hu&rft.date=2015&rft.coverage=153.552920,-9.929730 137.994575,-9.929730 137.994575,-29.178588 153.552920,-29.178588 153.552920,-9.929730&rft_rights=© 2011 Hu et al.&rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/au/&rft_subject=Cryptosporidium&rft_subject=Bayesian &rft_subject=Absences &rft_subject=Decision trees&rft_subject=Probability distribution &rft_subject=Cryptosporidiosis&rft_subject=Bayes theorem&rft_subject=Observed &rft_subject=Spatial distribution&rft_subject=Infectious diseases&rft_subject=Matrix &rft_subject=Classification &rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

© 2011 Hu et al.

Access:

Other

Contact Information

Postal Address:
Dr Wenbiao Hu

w2.hu@qut.edu.au

Full description

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.

Data time period: 2001 to 2011

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Websites

153.55292,-9.92973 137.99458,-9.92973 137.99458,-29.17859 153.55292,-29.17859 153.55292,-9.92973

145.7737475,-19.554159

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

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : 10378.3/8085/1018.15729