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A lower value (close to the authentic label) obtained by output of the SVR demonstrates that the test iris and the involved enrolled iris are in the same pattern class.
The CSS approach demonstrates that the test is generally applicable for the identification of trait-specific genomic regions for complex traits by comparing phenotypically contrasting populations.
Multi-centre evaluation of the assay showed concordant results, which demonstrates that the test is robust and can be performed in different laboratories using different amplification platforms and/or DNA polymerases.
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Even when an athlete tests positive, scientists must demonstrate that the test works if that athlete disputes the charge.
And written answers to my questions appear to demonstrate that the test is being used in the UK on about 500 people a year.
Simulations demonstrate that the test behaves well for heavy-tailed sequences.
The first backing to support Assumption 3 entails evidence demonstrating that the test is measuring a unidimensional latent construct.
Rasch analyses, correlation analyses, and retrospective protocol analyses together demonstrated that the test measured three different but highly related facets of a shared latent construct (Assumption 3).
Experimental results demonstrate that the test results of the proposed nonadditive classifier are better than, or comparable to, those of other known rough-set-based classification methods.
Roy (2012) demonstrated that the test results on the application of solar PV DC system provided satisfactory performance on water pumping, and moreover, it is user and environmentally friendly.
Multivariate analyses demonstrated that the test provides complimentary prognostic information to clinico-pathological parameters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com