Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: top 5 of the set of 16 best trees based on sensitivity, specificity, accuracy and deviance

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 top 5 of the set of 16 trees (based on sensitivity, specificity, accuracy and deviance) for Bayesian classification trees.