The variable cut-off in the ROC curve can be adjusted to select a trade-off between sensitivity and specificity.
P. falciparum targets with an InterPro domain Tanimoto similarity above a variable cut-off were considered as predicted, but were not ranked.
The final prediction ((omega ')) was estimated based on the value of (P_{k}), which was compared to a variable cut-off as outlined in Fig. 1.
Neuron Specific Enolase demonstrated variable cut-off values associated with poor outcome ranging from 25 to 49.5 ng/mL on day 2 after cardiac arrest, with one survivor with an NSE value of 110 ng/mL.
The posterior probability, (P_{k}), as determined from Table 1 is compared with a variable cut-off between 0 and 1. Step 2.: For a new test chemical, the prediction combination vector (s_{k}) was determined and was used to look up the posterior probability (P omega =1|s=s_{k})) or (P_{k}) associated with it from the decision table.
HDL-C was transformed into a categorical variable (cut-off: 45 mg/dL); albumin, BSR, and Barthel score were included as confounders.
Our method is a binary predictor without a variable cut-off parameter and thus no precision/recall curve can be produced.
For each variable, cut-off scores were used in order to identify whether or not participants experienced any given psychosocial problem.
Age was modeled as a continuous variable, dichotomous variable (cut-off ≥60 years) and by tertiles (<60 years, 60 69 years, ≥70 years).
Variable cut-off-values for PG1 and the PG-ratio were applied in former studies [ 25], but levels below 70 μg/ml and 3.0, respectively, found most acceptance resulting in a sensitivity of 66.7-84.6% and a specificity of 73.5-87.1% for the detection of atrophic gastritis [ 12, 26- 28].
