the robustness of the model vs the robustness of the prediction model

Both phrases are correct, but they are used in slightly different contexts. 'The robustness of the model' is a general statement about the strength and reliability of a model, while 'the robustness of the prediction model' specifies that the model is used for making predictions.

Last updated: March 17, 2024 • 607 views

the robustness of the model

This phrase is correct and commonly used in English to refer to the strength and reliability of a model.

This phrase is used to describe how strong and reliable a model is in general.

Show examples from the web [+]

we investigate the robustness of the model proposed by. Laub and Loomis for the molecular network underlying adenosine 3',5'-cycle monophosphate (cAMP) ...
Hence, the robustness of the model is demonstrated. The fact that the sizes of most factor loadings and error variances differed between both samples is most ...
... the scores of these features against each other, and generally investigate the robustness of the model webs to variation of the underlying definition of species, ...
Jun 12, 2015 ... The robustness of the model, its extrapolation potential, is then judged from the difference between the calibration and validation performance ...

Alternatives:

the model's robustness
the strength of the model
the reliability of the model

the robustness of the prediction model

This phrase is correct and specifies that the model is used for making predictions.

This phrase is used when referring to the strength and reliability of a model specifically designed for making predictions.

Show examples from the web [+]

Aug 21, 2010 ... ... carrier-mediated) and other factors (i.e. efflux proteins and/or metabolic activity) can strongly affect the robustness of the prediction model.
Test the robustness of the prediction model. Remove the last few pieces of data and then make a prediction in the normal way. Now we have predicted and ...
which can ensure the robustness of the prediction model. Every model corresponds with the requirement of the accuracy. According to previous studies [ 26-30], ...
... (passive, active and carrier-mediated) and other factors (i.e. efflux proteins and/ or metabolic activity) can strongly affect the robustness of the prediction model.

Alternatives:

the prediction model's robustness
the strength of the prediction model
the reliability of the prediction model

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the robustness of the model vs the robustness of the prediction model