Your English writing platform
Discover LudwigExact(59)
The specificity is the proportion of true negatives among all examples that are negative class.
The EF is the proportion of true positives (the actives) in the set of compounds retrieved over the proportion of true positives that would be obtained by screening the whole database [5].
The accuracy is the proportion of true results (both true positives and true negatives) in the population.
Forage digestion was affected by the provision of sugar versus starch, whereas the relative proportion of true protein versus NPN in the supplemental RDP affected forage intake.
Despite its prevalence of use, the proportion of true metabolites identified in a given experiment compared to background contaminants and ionization-generated artefacts remains poorly understood.
The EF at a given cutoff χ is calculated from the proportion of true active compounds in the selection set in relation to the proportion of true active compounds in the entire dataset: EFleft( chi right) = frac{TP/TP + FP}{TP + FN/TP + TN + FP + FN} = frac{{N times n_{s} }}{{n times N_{s} }} (8).
The FDR estimation procedure starts from some preliminary assessment of the proportion of true nulls, π0.
The accurate estimation of FDR requires the proportion of true null hypotheses being accurately estimated.
The sensitivity of the microarray methodology with respect to the known pathogenic mutations was defined as the proportion of true positives detected by the microarray, while the specificity was defined as the proportion of true negatives detected.
The conservative "lowest slope" method (Hsueh et al., 2003) estimated the proportion of true null hypotheses to be 0.991017.
The ROC curve is obtained by plotting the proportion of true positives against the proportion of false positives.
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