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The results presented here support the utility of this approach in the evaluation of model performance.
A fitting analysis aids in the evaluation of model circuit parameters providing good agreement with experimental voltage and current measurements.
In the evaluation of model adequacy, the likelihood ratio test is suggested as a diagnostic tool.
to assess the informativeness of the data for using individual predictions in the evaluation of model fit.
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The coefficients were also taken into account in the evaluation of models considering they should be high and similar in magnitude.
Hence, PMP aims to address these issues in the following way: as next category in CAMEO, we will implement the evaluation of model quality estimation methods.
A new metric for the evaluation of model performance in the field of virtual screening and quantitative structure activity relationship applications is described.
Such comparisons support the evaluation of models used in turbulent combustion and radiation simulations.
Such comparisons are expected to support the evaluation of models used in turbulent combustion and radiation simulations.
Two general criteria are used in the evaluation of a model's ability to predict data not seen in model training: model precision and model accuracy.
The diagnostic tables and plots created from the output of these modeling programs are essential in the evaluation of the model quality and the communication of the modeling results.
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