Sentence examples for predictions in simulating from inspiring English sources

Failure to consider major sources of uncertainty may bias model predictions in simulating watershed behavior.

With default settings, TopHat-Fusion [ 24] made no fusion predictions in either simulated dataset.

We next tested the prediction of junctions in simulated data sets with very high read-depth coverage to determine whether the evenness skew score would become saturated, such that it no longer provided an effective metric for evaluating junctions.

In simulating resistance, it enables users to simulate rape.

Trained models outperform random and standard models in simulated prediction tasks.

Subsequently, Wang et al. [ 14] demonstrated that weighted GBLUP can reduce bias and increase accuracy of prediction, outperforming regular GBLUP in simulated data.

When the PEV was accounted for in the emBayesR algorithm, there was a 6% improvement in the accuracy of genomic prediction in the simulated data when h 2  = 0.45, and 5% when h 2  = 0.1 (Table  5), compared to when PEV was not accounted for.

For more than 1500 proteins, the PS-IRV models achieve greater than 0.9 AUC performance in simulated target-prediction experiments.

However, the gains in accuracy of prediction were either of small magnitude in simulated data or not at all apparent when applied to back fat thickness data in pigs, as was also observed in our application.

Stochasticity in the nature of the substitution process in empirical data precludes better predictions of gene performance in empirical data sets than in simulated data sets.

In simulated data with binary outcomes, we report the Brier score as a measure of prediction accuracy.