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Secondly, a theoretical model of steam turbine performance is used to model the feasible operation of the steam turbine.
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Multivariable linear regression analysis was used to model the relationship between exam performance and intercalation.
A mathematical model of progressive-ratio schedule performance was used to analyse the data.
Finally, a second set of samples is used to test the performance of the tuned model.
The Receiver Operating Characteristic (ROC) curve is used to examine the performance of logistic regression model.
A maximum likelihood estimate of these model parameters is used to represent performance evaluation.
Process Performance Baselines are used to define Process Performance Models [4].
The area under the receiver operating characteristic curve (AUC) was used to assess model performance [ 67].
The deviance information criterion (DIC) was used to compare model performance.
A bi-exponential model was used to represent the performance with age.
The validation set was used to determine the performance of the models and was not used during model development.
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