Sentence examples for importance of prediction from inspiring English sources

However, whilst there is an increased awareness of the importance of prediction models, the majority of published prediction models are opportunistic and are rarely being used or even mentioned in clinical guidelines [ 9].

The importance of prediction errors is based on Kamin's blocking effect [ 7] which demonstrates that learning and extinction advance only to the extent at which a reinforcer is better or worse than predicted; learning slows progressively as the prediction approaches asymptotically the value of the reinforcer.

It emphasizes the importance of durability prediction, system reliability analysis, emissions prediction, engine transient modeling, air system integration, and virtual engine calibration.

Although improving model performance by incorporating spatial autocorrelation of residuals and projected coordinates may mask the importance of certain prediction variables not accounted for in the models, incorporating such spatial information is a practical approach for improving prediction of NTD incidences in epidemiologic studies when important prediction variables is unavailable [ 18, 35].

First the importance of velocity prediction programs is explained.

Safety studies for production and use of hydrogen reveal the importance of accurate prediction of the overpressure effects generated by delayed explosions of accidental high pressure hydrogen releases.

Continuous development of new empirical models in recent decades reveals the importance of accurate prediction of this factor in diverse ground and machine conditions.

One may argue about the importance of the prediction of the SAT (shock arrival time at the Earth) because interplanetary shocks do not cause geomagnetic storms directly.

This section provides background about the regression methods, model's performance metrics, and a metric for measuring the relative importance of the prediction factors used in the models.

Additionally, an illustrative example is shown to highlight the importance of the prediction accuracy of buckling mode on the fidelity of approximate models for WMPLA.

One can achieve a different trade-off between false positive and false negative by changing the relative importance of correct prediction of violation or satisfaction of a constraint through using a cost matrix when training the classifiers.