Your English writing platform
Discover LudwigExact(59)
We therefore classified cases according to causation.
The overall accuracy gives the number of correctly classified cases as a proportion of all observations.
Discriminant function analysis was used to determine the combination of variables that best classified cases based on phase of illness.
When classified cases are used to train an SVM, it derives an optimal function based on the features that separate the two classes.
The predictive value (PV) describes the proportion of correctly classified cases.
To statistically test whether professionals classified cases and controls better than could be expected by chance, we used a permutation test based on a modified version of Fisher's Lady tasting tea procedure [27].
They are defined in Eq. (2) and Eq. (3), where TP and TN denote the number of positive and negative correctly classified cases, and FP and FN denote the positive and negative misclassified cases.
To find out whether a particular group classified cases and controls better than could have been expected by chance, a permutation test was done as described above using R software version 2.4.1 [30].
We classified cases into upper and lower gastrointestinal bleeding; upper bleeding was defined as bleeding originating from the esophagus, stomach, and duodenum; lower bleeding was defined as bleeding arising from the colon or rectum.
We classified cases as being positive or negative for autoantibodies to NY-ESO-1 using a cut-point of two standard deviations from the mean of the control group (Supplementary Tables S1 and S2).
* Percentage of correctly classified cases.
Write better and faster with AI suggestions while staying true to your unique style.
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