Sentence examples for point of prediction from inspiring English sources

The calculated best time point of prediction for the ReQuest™ total score was also Day 10, whereas it was Day 4 for ReQuest™-WSO.

While many pipelines now incorporate RNA-seq data in training GHMMs, there has been relatively little investigation into additionally combining RNA-seq data at the point of prediction, and room for improvement in this area motivates this study.

Cutoff points of prediction model outputs defining the HR group were chosen for 90% specificity in order to minimize the number of unnecessary endoscopies (Figure 2A).

Cutoff points of prediction model outputs defining the LR group were chosen to achieve 90% sensitivity, in order to minimize failure in detecting progressor patients (Figure 2B).

A scheme similar to this was used by Gianola et al. (2011) and González-Camacho et al. (2012); one advantage of this approach is that in addition to yielding a point estimate of prediction accuracy, it provides measures of uncertainty of such estimates (e.g., variance of predictive correlation across partitions of the data into TRN and TST data sets).

Each partition yields a point estimate of prediction accuracy (e.g., correlation between predictions and phenotypes).

The point of our prediction was to inform our readers not only that a sell-off was imminent but that it would be unusually severe.

From an engineering point of view, prediction of fatigue crack nucleation in automotive rubber parts is an essential prerequisite for the design of new components.

The now famous (or infamous, depending on your point of view) prediction, made on 60 Minutes, was quickly and severely debunked by a host of muni bond experts, but was shredded most effectively and publicly by a Bloomberg piece this month in which Whitney admitted that she lacked any specific numbers to back up her headline-grabbing claim.

Conversely, if the cutoff point of a prediction outcome is chosen for high specificity, sensitivity will be lower.

When the cutoff point of a prediction outcome is selected to maximize sensitivity, specificity will suffer, and false positives will increase.