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Test validation methods are an important part of language testing research.
Up to now, no specific design tools and validation methods are available.
Current validation methods are labor-intensive as they rely on manual analysis, review and inspection.
With large pools of descriptors, validation methods are essential and it appears that a new approximation of critical Fisher values for multiple linear regressions solves this problem.
In this paper, which is the first of two parts, the feature creation and validation methods are presented together with the methodologies for operation and tool selection.
Many of the validation methods are aimed at the question whether specific foods are categorized in the correct way as "healthier" or "less healthy".
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Validation methods were based on recently proposed and classical approaches that engage exact mathematical methods.
CV and independent validation methods were used to test the accuracy of genomic predictions.
Since different datasets and validation methods were used, it is difficult to compare the performance of these models [ 19].
The need for spatio-temporal models and corresponding analysis and validation methods was mentioned previously in the literature.
With the purpose of deriving reliable in silico models, both internal and external validation methods were applied.
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