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Models with a latent variable formed by neurological measures and reflecting cognitive measures performed better on fit tests.
To confirm that the new adapted measures performed better at excluding fewer true positives, we compared the precision value obtained for each measure, with a fixed recall of 20%, on table 3. We selected the points from Figures 2, 3, 4, 5 and 5 that were closest to a recall of 20%.
Similar but less extreme results were observed for Factors 4 and 6 where 90% of individual measures performed better than their associated factor.
Voronoi and area-weighted tessellation measures performed better overall in Aberdeenshire than in Ayrshire, with somewhat higher TSS scores like-for-like.
We also demonstrated that both of the comorbidity measures performed better in predicting 1-year mortality than in-hospital mortality in the patients with stroke.
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Altocumulus measures perform better than Cumulus measures in predicting breast cancer risk, and Cumulus measures are confounded by Altocumulus measures.
The experiment results show that both Wang and HRSS measures perform better than the traditional node-based measures [ 15, 22].
It was shown that none of the measures perform better than the other ones in all situations.
Even though these density measures were correlated, the Altocumulus measure performed better than the Cumulus and Cirrocumulus measures.
Random Forests bias-corrected selection frequency, a novel importance measure, performed better in these tasks than the established permutation importance and RSS importance.
Tables 2 and 3 clearly display, that our approach utilizing UProC read assignments and the scaled mean score evidence measure performed better than the de novo assembly approach over the whole range of E value thresholds.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com