Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: quantiles of log residual sums of squares (RSS), deviance and log posterior for training and validation datasets over all accepted trees, for Bayesian regression trees
Viewed:
1576
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 quantiles of log residual sums of squares (RSS), deviance and log posterior for training and validation datasets over all accepted trees, for Bayesian regression trees of the study.
The dataset presents the quantiles of log residual sums of squares (RSS), deviance and log posterior for training and validation datasets over all accepted trees, for Bayesian regression trees of the study.
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
Bayesian
Spatial distribution
Posterior
Cryptosporidium
Bayes theorem
Regression
Deviance
Sums
Accepted
Residual
Squares
Crytposporidiosis
Probability distribution
Decision trees
Infectious diseases
Datasets
Validation
Cite this collection
Hu, Wenbiao; O'Leary, Rebecca A.; Mengersen, Kerrie; Choy, Samantha Low (2013): Quantiles of log residual sums of squares (RSS), deviance and log posterior for training and validation datasets over all accepted trees, for Bayesian regression trees. Table_4.xls. PLOS ONE. 10.1371/journal.pone.0023903.t004.
Related information
Rebecca O'Leary, Research collaborator
http://goo.gl/LqhdR6
Access the data
Licence
Copyright
© 2011 Hu et al.
Dates of data collection
From 2001 to 2011
Connections
Contacts
Other
Date record created:
2014-07-03T16:08:38
Date record modified:
2019-07-04T11:21:46
Record status:
Published - Open Access