Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: quantiles of sensitivity, specificity and log posterior for training and validation datasets over all accepted trees, for Bayesian classification trees
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https://researchdata.edu.au/bayesian-classification-regression-classification-trees/504426
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资源简介：
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 sensitivity, specificity and log posterior for training and
validation datasets over all accepted trees, for Bayesian
classification trees in the study.
提供机构：
Queensland University of Technology
