Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm
Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm
Recent studies have highlighted the importance of local environmental factors to determine the fine-scale heterogeneity of malaria transmission and exposure to the vector. In this work, we compare a classical GLM model with backward selection with different versions of an automatic LASSO-based algorithm with 2-level cross-validation aiming to build a …