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Value of CMIN/DF is supposed as measure of model fitness.
The Hosmer-Lemeshow test was used as a measure of model calibration.
Hastie et al.[4] define effective degrees of freedom and use it as the measure of model complexity.
The real-space correlation coefficient (RSCC) [6] is another well-established measure of model fit to the experimental data.
An alternative measure of model fit involves the use of the log likelihood ratio of the intercept model.
An incremental retraining strategy is adopted, where the amount of retraining, and therefore the required computational effort, is modulated by the proposed measure of model change.
This comparative analysis provides a measure of model performance based on the ability of the CA-BCM to accurately estimate basin discharge.
These input sequences exploit the third-order Volterra model structure and use the prediction error variance expression as a measure of model fidelity.
It was found that the application of MCCV is likely to result in a more realistic measure of model coefficients than LOO.
A measure of model misspecification is proposed, and the consequences of model misspecification in non-experimental causal inference methods are investigated.
ROC is a threshold-independent measure of model quality as compared to null expectations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com