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We quantified performance of the resulting models A and B using leave-one-patient-out cross validation.
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In order to design or quantify performance of these structures, the relationship between discrete and cumulative removal with cumulative P loading must be determined, either by individual flow-through experiments or model prediction.
To quantify performance of the W-track continuous alternation task, we parsed the running behavior into trials and classified the trials as inbound or outbound according to their point of origin on the W track.
Determining sensitivity would quantify performance of our case definition only for those already known to have new-onset diabetes.
In this section, we want to quantify performance of different methods if data does not follow this assumption.
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Moreover, determining sensitivity (the proportion of true DKA cases that the case definition identifies as having DKA), would quantify performance of the case definition only for those already known to have DKA (established cases).
Nevertheless, we quantify performance on the basis of scores as well.
The receiver operating characteristic (ROC) curves are used to quantify performances of the best classification groups.
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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