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This (most conservative) ROC point is associated with the lowest correct and false ID rates for a given condition.
From the results given in Table 5 it can be seen that the mean rate of correct determination of the activity state is approximately, with Speaker 3 having the lowest correct determination rate of.
They had the lowest correct recognition rate of the 5 SDs.
The lowest correct answer rate was 37.2 % for the question on whether "some types of dementia can be cured completely".
We also considered the lowest correct rank for each prediction made by the five algorithms (Supplementary Fig. S2).
The lowest correct answer (10.6%) was apparent in the question (8) related to the knowledge of vaccine storage.
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The selection of the best equations was based on the highest coefficient of determination (r 2), the lowest root mean square error (RMSE) and the lowest corrected Akaike information criterion (AICc).
These 12 items correlated directly with the substances receiving the lowest corrected consensus coefficients.
Item 3 also exhibited the lowest factor loading of the five items in the PCA and CFA and the lowest corrected item total correlation (Tables 3 and 4).
As for the CRQ-IA item 9 showed the lowest corrected item-total correlation but was considerable higher compared with the CRQ-IA (0.37).
We used likelihood ratio tests to find insignificant terms and selected the reduced model with the lowest corrected Akaike information criterion (AICc) score for final analysis.
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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