Sentence examples for predictive confidence from inspiring English sources

The converse is also true in that the classifier is only permitted to predict the smaller class when predictive confidence is high.

The main advantage GPCs hold over alternative methods such as support vector machines is that they provide probabilistic class predictions, thereby accurately quantifying the predictive confidence assigned to each data point.

The CFD modeling methodology and associated uncertainty quantification techniques presented herein offer a solid framework for estimating the predictive confidence in the virtual scale up of a larger carbon capture device.

To quantify the predictive confidence of a device scale solid sorbent-based carbon capture design where there is no direct experimental data available, a hierarchical validation methodology is first proposed.

As a consequence, it is understandable that 3 of those 4 instances are mispredicted, given the theoretical link between data density and predictive confidence.

To illustrate this notion, let us consider an AD that shows a constant degradation of accuracy with increasing distance to the AD core (here the term "core" can be interpreted as the sum of one or more centroids in the AD, where predictive confidence is maximum).

The uncertainty values obtained thereby have subsequently been incorporated into many of the models distributed with ADMET Predictor 7.0 as predictive "confidences" (equal to 1 – u k)).

Less than 1% of analyzed hybrid transcripts levels fell outside the predictive 99% confidence interval based on averaged transcript levels from parental accessions.

They found that low water-level scores and being female were predictive of low confidence scores, and performance on tasks was generally predictive of participants' confidence ratings.

Because the J.P. Morgans and Bank of Americas of the world are sitting on troves of account (i.e. balances, inflows / outflows), spending (i.e. transaction-level purchases), and risk (i.e. delinquency, write-off) data, they're able to underwrite credit with more predictive certainty and confidence.

Overall, the proposed algorithm had 89% positive predictive value (95% confidence interval, 86 92) for detecting hypoglycemia visits.