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Combining the information from the 3-class and the 2-class aROC allows us to gauge the predictive power of our models on a finer scale than we can when using the standard 2-class aROC.
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By determining the different relative ratios of each of the four categories above, it is possible to gauge the inherent accuracy of a set of predictions and to compare the predictive performance across different sets of gene predictions.
Bootstrap-corrected C-indexes were used to better gauge expected future predictive accuracy.
The predictive power of the PET scan comes from its ability to gauge the brain's average metabolism.
The ROC curve, a descriptive tool, adds insight in that it allows one to identify and compare the sensitivities of the predictive models at chosen specificities, and vice versa, and for gauging the magnitude of any apparent increase in accuracy.
The predictive power was amazing.
The predictive analytics are yet to come.
But the predictive power of the scans is limited.
It compared the predictive validity of three numbers: a student's high-school G.P.A., his or her score on the S.A.T. (or, as it is formally known, the S.A.T. I), and his or her score on what is known as the S.A.T. II, which is a so-called achievement test, aimed at gauging mastery of specific areas of the high-school curriculum.
(So much for the predictive power of earnings).
The predictive enterprise is coming.
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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