Evaluation of Genetic Programming for modeling solute breakthrough curve through the temporal data assignment scenarios

A modeling procedure was assessed in the present paper to investigate the abilities of Gene Expression Programming (GEP) approach for modeling solute breakthrough curve. The evaluation of the GEP method for modeling solute breakthrough curve was carried out through complete data scanning techniques. In this way, a complete scan of the possible train and test set configurations was carried out according to temporal criteria using ‘leave one out’ procedures. The obtained results reveal that the suitable assessment of the model performance should consider a complete temporal and/or spatial scan of the data set used.