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However, when we assessed model performance using cross-validation, we were able to demonstrate that the commonly-used stepwise model selection approach has inferior predictive performance to approaches that account for model uncertainty.
3 Our simulation analysis performed the decision tree analysis on MCAR and MAR scenarios to evaluate model performance using a simple, known example of missingness.
We validated model performance using 2852 observed dams across 1947 km of streams.
Model performance using different combinations of observations is tested against traditionally-derived hydrographs.
We developed an approach to evaluate model performance using diverse Fortran compilers on multiple computer operating systems.
Because of the complex nature of the granulation process, the error residual is exploited further in order to improve the model performance using a Gaussian mixture model (GMM).
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Modelling survival prediction used 19,127 new patients in 1998-2002, and validation of model performance used 5,623 patients of year 2003.
In the Example section, we provide an illustration of the models performance using real data from a study in infants with respiratory illness recurrences.
External evaluation was performed by examining model predictive performance using Bayesian forecasting.
[ 36] "Evaluation of model predictive performance using the same dataset used for fitting the model usually leads to a biased assessment.
In this article, we will model detector performance using the receiver operating characteristic (ROC) curves for the energy detector as calculated in [30, 31].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com