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The choice as to which type of model to employ in a particular situation, is however, far too often governed by logistic constraints and the personal preferences of the modeller, rather than by a critical evaluation of model performance.
The results presented here support the utility of this approach in the evaluation of model performance.
A new metric for the evaluation of model performance in the field of virtual screening and quantitative structure activity relationship applications is described.
For each established model, we calculated a number of statistical measures like the Matthews's correlation coefficient (MCC) [64], sensitivity, specificity, and accuracy for evaluation of model performance.
The evaluation of model performance again indicates a high predictive power (AUC = 0.9; Boyce Index = 0.958; Liu et al. 2005; Hirzel et al. 2006).
Evaluation of model performance confirmed the suitability of the handheld device for individual, fast, non-destructive, low-cost analysis of IP carcasses on the slaughterhouse line.
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Only those compounds that fell within the prediction space of the respective prediction model were used for the final evaluations of model performance.
Depending on PK data available for model evaluation, alternative assessments of model performance may be applied.
This work deals with the problem of model performance evaluation, which is a challenge in many science branches, including subsurface fluid flow modelling (e.g. reservoir characterisation using history matching algorithms).
Sustained real-time use of this information will require continual evaluation of TBH model performance, as well as the empiric relationship between modeled land surface wetness conditions and WNV transmission.
Though hardware and software improvements have facilitated and spread the use of prediction models, methodologies for evaluation of the model performance have not kept pace.
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