Sentence examples for model performance a from inspiring English sources

To further evaluate model performance, a 'leave-one-out' analysis (i.e., Jack-knife) was performed whereby each prediction and observation pair are, in turn, left out of the creation of performance statistics and N-1 (evaluation site) R values are returned for each year by pollutant.

To assess the impact of parameterization choice on model performance, a number of commonly used formulations for aerodynamic and surface resistances were substituted into the different formulations.

In order to optimize the model performance, a recently developed optimization technique based on rate rules (Cai and Pitsch, 2014) is extended in this study.

In order to improve the model performance, a type of enhanced cat swarm optimisation (ECSO) is adopted to optimise the key parameters of SVM.

To improve the model performance, a locally tuned MeSAA was developed through the use of a locally tuned ΔpCO2@bio term.

In terms of model performance, a RF algorithm provides an indicator called an out-of-bag (OOB) error, which is the prediction error of the observations that were not selected by bootstrapping (referred to as OOB data).

Therefore, to improve the model performance an adequate identification of feasible products sequences is required.

In order to evaluate the models performance, a receiver operating characteristic (ROC) curve was built and the area under ROC curve (AUC or C statistics) was used to measure the discriminative power.

Therefore, this method is expected to give an optimistic estimate of model performance; for a more representative performance estimate, a more challenging validation is exemplified below.

This scenario proposes the analysis of the model performance when a bidirectional flow of pedestrians crossing a corridor is simulated.

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.