Sentence examples for more robust predictive from inspiring English sources

Despite this fact, there still exists a serious need to develop more robust predictive models.

It can be concluded that the TI model is a more robust predictive tool, and especially in urban applications where soil properties may be highly uncertain.

In an era where tracking all of that data becomes increasingly important thanks to more robust predictive tools and considerably more processing power to make those projections, SurveyMonkey's data is likely even more valuable than it was when it raised funding in 2014.

BMA accounts for model uncertainty by averaging over the posterior distributions of multiple models, allowing for more robust predictive performance.

Further studies to develop and validate a more robust predictive model, will help optimize outcomes of AKI survivors.

Random forest yielded more, and more robust predictive signatures, with nine out of the twelve signatures generated remaining predictive when tested against the CCLE dataset (17-AAG, AZD6244, Erlotinib, Lapatinib, Nultin-3, Paclitaxel, PD0325901, PD0332991, PLX4720).

Different statistical approaches for predictive habitat modelling possess varied strengths and weaknesses and by examining the outputs of a range of modelling techniques and their differences, more robust predictions, with better described variation and areas of uncertainties, can be achieved.

Those findings offer helpful thresholds that can help us construct more-robust predictive models from data available in national registries using those endpoints, and, perhaps, to identify those patients at greatest risk for persistent pain or disability after hip replacement.

To this end the development of more robust and predictive in vivo models of biomaterial-induced inflammation is required for use with the appropriate genetically modified stains of mice deficient in key innate immune effector response pathways to ultimately assess the effect of physicochemical surface modifications on the initiation and progression of the FBR.

We ran ten cross-validation replicates for each model and calculated the average AUC of the ten cross-validations (mean ± SD) to give a more robust estimate of predictive performance.

Combined analysis of βIII- and βV-tubulin expression may provide more robust prognostic and/or predictive information.