  This paper deals with prediction of anopheles number using environmental and
climate variables. The variables selection is performed by an automatic machine
learning method based on Lasso and stratified two levels cross validation.
Selected variables are debiased while the predictionis generated by simple GLM
(Generalized linear model). Finally, the results reveal to be qualitatively
better, at selection, the prediction,and the CPU time point of view than those
obtained by B-GLM method.
