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 GeneExpression Programming (GEP) approach for modeling solute breakthrough curve. The evaluation of theGEP method for modeling solute breakthrough curve was carried out through complete data scanningtechniques. In this way, a complete scan of the possible train and test set configurations was carried outaccording to temporal criteria using ‘leave one out’ procedures. The obtained results reveal that the suitableassessment of the model performance should consider a complete temporal and/or spatial scan of the data setused.