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Post-calibration model prediction and efficiency were deemed satisfactory using standard model performance criteria.
The CMAQ model generally met the PM2.5 model performance criteria and was suitable for the State Implementation Plan (SIP) applications.
A selection of results obtained with structure (1c) are presented in Table 1 showing model performance criteria for the training, validating and testing data sets (namely MSE and BIC) over structure parameters.
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Finally, computations of model performance criterion and model performance goals show that both models can be considered acceptable for standard modelling applications.
Therefore, a new model performance criterion termed as peak percent threshold statistics (PPTS) is proposed to evaluate the performance of a flood forecasting model.
The study revealed that even though the developed three models are reliable to predict the UCS, the presented ANN method displays an obvious potential for the reliable assessment of UCS according to model performance criterion.
Squared deviations of the response functions from the target values are used as the model performance evaluation criteria, thus shifting the problem into the multicriteria framework.
The model comprises the air-heating process model, the drying model and the technical performance criteria model.
However, these previous works used different channel models and performance criteria.
Before preparing selection model, the required performance criteria (PC) are decided.
AES models meeting recommended performance criteria were then compared to standardized admissions measures and locally developed writing measures.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com