Two cross-validation techniques to comprehensively characterize global horizontal irradiation regression models: Single data-splitting is insufficient
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/1.5116642
Abstract: Data-splitting is the most widely used method to cross-validate global horizontal irradiation regression models. An available dataset is split into two subsets, one to calibrate models and the other to validate them. This study investigated… read more here.
Keywords: validation; cross validation; data splitting; regression models ... See more keywords
Comments on ScottKnottESD in Response to “An Empirical Comparison of Model Validation Techniques for Defect Prediction Models”
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2017.2748129
Abstract: In this article, we discuss the ScottKnottESD test, which was proposed in a recent paper “An Empirical Comparison of Model Validation Techniques for Defect Prediction Models” that was published in this journal. We discuss the… read more here.
Keywords: empirical comparison; techniques defect; model validation; validation techniques ... See more keywords