Sentence examples for model validation technique from inspiring English sources

Indeed, this cross-validation method is a model validation technique of assessing how the results of a statistical analysis generalize to an independent data set.

In most applications the aim is to design a robust controller and therefore it is valuable to validate or invalidate an uncertainty model in view of this application by considering a closed-loop model validation technique.

Cross-validation is a model validation technique for assessing how the results of a statistical analysis would generalize to an independent dataset in a practical setting.

Cross-validation is a model validation technique for assessing how the results of a statistical analysis could generalize to an independent dataset.

Through the development of better model validation techniques and unbiased examination of all feature subsets in genome-wide scale, we are likely to continuously improve the accuracy of the predictive models and increase their reproducibility on independent population samples.

Inter-model validation technique was also used to validate the model's robustness: the model was used to run a case that has been simulated by an existing model.

During the model validation a technique based on the selective weight measuring on planes perpendicular to the nozzle axis was used.

Although improvements are still needed, the advanced modeling and validation techniques used herein contribute toward improved and quantified accuracy over earlier simplified models.

To further test the validation technique, this model was modified to incorporate the submodels for unit processes involved in glucose regulation (S109).

Invariants are a beneficial technique in model validation, and the challenge is to check all invariants for their biological plausibility.

Rather than splitting data into test and validation sets, we performed a cross-validation, that uses repeated data-splitting to prevent model overfitting and to generate accurate estimates of model coefficients, being a compelling statistical technique for model validation [14].