Sentence examples for metric for predicting from inspiring English sources
Using frequency of occurrence or geographic distribution as a metric for predicting ancestry would bias predictions by frequency of invasion and invasion success.
Northwestern's predictions got the most publicity because of the eye-catching metric for predicting spread: data from Where's George?, a Web site that tracks millions of dollar bills as they move around the country.
Imagine using this metric for predicting the costs of laying a transamerican or even transcontinental telegraph system, which soon occurred!
In the world of restructuring, few academics hold the stature of Edward I. Altman, the professor who created a widely used metric for predicting when a company might file for bankruptcy.
Life-settlement investors, like those in other sectors, crave timely information about their holdings, and the key metric for predicting portfolio performance is the health status of the policyholders.
It is suggested that for practical purposes the size of the deepest corrosion pit in the area of corrosion damage on an aircraft, or similar structure, can be used as the metric for predicting fatigue life.
The metric we used for predicting the assignment success of barcoding markers also requires alignments.
This metric can be customized for predicting candidate time points based on the uncertainty of a single parameter or a subset of parameters.
We constructed a model estimating WC from BMI and three demographic variables — gender, age, and race/ethnicity — because WC is increasingly recognized as a more accurate and therefore more useful metric than BMI alone for predicting cardiometabolic risk.
Our observations of the association between hot days and kidney stone presentation also call into question whether mean annual temperature is the most appropriate metric of temperature exposure for predicting the future distribution and prevalence of nephrolithiasis under different climate change scenarios.
The submitted algorithms were then assessed for correctness, relying primarily on a novel gene-centric metric that allowed partial credit for predicting a "similar" term, based on proximity in the GO term graph.
