Sentence examples for improving predictive performance from inspiring English sources

In contrast, BMA selects a number of all possible single models and uses their posterior probabilities to perform all inferences with the aim of improving predictive performance [ 18].

It appropriately shrinks the estimation of slope variability, thus clearly improving predictive performance [30].

Models that included sex, ethnicity, age, diabetes duration, albuminuria, serum creatinine, systolic blood pressure, HbA1c, smoking status, and previous cardiovascular disease status performed well with good discrimination and calibration in the derivation cohort and the validation cohort (n = 5,877) (C-statistics 0.89 0.92), improving predictive performance compared with previous models.

This provides support for our notion that the inclusion of many more SNPs in a prediction model will improve predictive performance.

Incorporating measurement of cervical length at 11 13 weeks may improve predictive performance, with one such model predicting 54.8% of all spontaneous preterm births earlier than 34 weeks (at a FPR of 10%) when evaluated in 9974 pregnancies [ 11], although others have not replicated these findings [ 44, 45].

In this paper, our aim was to explore whether the set of prediction methods was indeed diverse, and to improve predictive performance across the genome and at all thresholds.

The risks for patients clustered within different centers was similar in these data (ICC 5%), which means that including center effects in the prediction model (i.e. random intercept model) cannot improve predictive performance considerably.

Transporter biology, tissue expression, and predicting intracellular drug concentration are areas that require more research to improve predictive performance of PBPK.

BRTs combine many models (each classification tree) and include stochasticity to reduce model variance and improve predictive performance.

The improved predictive performance of E-PLS does come at the expense of increased computational cost.

This improved predictive performance demonstrates the advantage of coupling hydrological and geotechnical models with a more realistic representation of infiltration.