Sentence examples for actual positive from inspiring English sources

The guidelines provide advice to antidoping agencies on how to put programs in place to collect and store athletes' blood samples and monitor them for any variations that could indicate doping — without an actual positive test.

Table 5 Confusion matrix for experiments with two classes   Predicted Positive Negative Actual Positive a b Negative c d.

Table 4 Confusion matrix for experiments with three classes   Predicted Positive Neutral Negative Actual Positive a b c Neutral d e f Negative g h i.

Sensitivity was calculated as the fraction of actual positive [true positive (TP)] host samples divided by all expected positive hosts, including both false negative (FN) and TP, as follows: Sensitivity = TP/ FN + TP).

These absolute numbers translate to the number of actual positive experiments in the lab, which if predicted correctly means that the method is doing well in capturing the true nature of the positive interactions in these datasets.

Table 3 A typical Cost Matrix which shows the misclassification cost for Positives and Negatives   Actual Positive Actual Negative Predicted Positive 0 TP 1 FP Predicted Negative 5 FN 0 TN.

We assumed positions within concordant intervals as actual positives and positions determined by a significance cutoff as predicted positives.

When both reference and patient group data are available, Receiver Operating Characteristics (ROC) analyses can provide additional cut-offs, reflecting the trade-off between sensitivity (measure of positivity; the proportion of actual positives correctly identified as such) and specificity (measure of negativity; the proportion of negatives which are legitimately ruled out) [ 10].

Note that this type of aberrations should be a target of PART and the positions in the specified concordant intervals are used as actual positives in benchmark tests.

There were also some actual positives from a progressive point of view.

Sensitivity refers to proportion of actual positives which are predicted positives (TP/TP + FN).