An evaluation framework for input variable selection algorithms for environmental data-driven models
A framework for the evaluation of input variable selection algorithms is proposed. The framework consists of assessment criteria and twenty-six datasets. The framework is supported by a dedicated website (http://ivs4em.deib.polimi.it). Four popular IVS algorithms are considered for evaluation purposes.
evaluation framework input variable selection data-driven modelling large environmental datasets artificial neural networks