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Table S2: Model results and statistical evaluation of the models.
The implementation and evaluation of the models are analyzed.
Evaluation of the models finds ANN models superior and some regression models with an acceptable performance.
Distinctive statistical evaluation of the models was performed in terms of well-known statistical indicators.
A thorough discussion on the derivation and the evaluation of the models is presented.
The evaluation of the models was based both on synthetic and real gas condensate mixtures.
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This phase consists of the simulation of the process and the evaluation of the model.
First, use each fitting index to make an overall evaluation of the model.
However, they did not perform an evaluation of the model using living tissue data.
We perform the quantitative evaluation of the model by Monte Carlo simulation.
One of the quantitative statistical parameters chosen for evaluation of the model was the Nash-Sutcliffe [41] efficiency (NSE).
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evaluation of the matrices
assessment of the models
appraisal of the models
test of the models
evaluation of the ones
rate of the models
evaluation of the specimens
evaluation of the systems
assessments of the models
evaluation of the later
evaluation of the modelled
evaluations of the models
evaluation of the modelling
evaluation of the sample
reviews of the models
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