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This paper deals with prediction of anopheles number using environmental andclimate variables. The variables selection is performed by an automatic machinelearning 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 qualitativelybetter, at selection, the prediction,and the CPU time point of view than thoseobtained by B-GLM method.

Anopheles number prediction on environmental and climate variables using Lasso and stratified two levels cross validation