Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers
Table 5
Model fit statistics from Leave-One-Out Cross-Validation (LOO-CV) and Widely Applicable Information Criterion (WAIC) for the Bayesian hierarchical logistic regression model.