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Different evaluation methods were used to evaluate the model predictive capacity on CTC count kinetics.
MARK I. HARRISON Chmn., American Bar Association Joint Commission to Evaluate the Model Code of Judicial Conduct Phoenix, May 25 , 2004
We evaluate the models on synthetic and real data sets.
Available experimental results are used to evaluate the model parameters.
Human experiment results have used to evaluate the models.
Three simulation scenarios were used to evaluate the model.
Data from these stations are used for model-data comparison to evaluate the model performance.
Finally, model graphs of each response were generated to interpret and evaluate the model equations used.
The Akaike information criterion (AIC; Akaike, 1974) is used to quantitatively evaluate the models.
The root-mean-squared (RMS) is commonly used to evaluate the model performance.
To evaluate the model's performance quantitatively, we compare network's output to the actual reports.
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