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The Hosmer - Lemeshow test which assesses the predictive accuracy of the model is generated by SPSS formed part of the assessment of the best-fitting model [ 25].
Likewise our extensive analysis that assesses the predictive accuracy of POC glucose across the whole range of the measurements in the sample adds substantively to the evidence provided by prior reports that have assessed diagnostic accuracy only on the basis of prespecified cutoffs of POC capillary glucose levels (24).
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To examine both the impacts of bias and scale in accuracy assessment, we assessed the predictive accuracy of GNN maps in western and southern Oregon.
We next sought to assess the predictive accuracy of these microbial modules in determining a patient's risk for colitis.
The database is utilized to assess the predictive accuracy of significant existing design recommendations, with respect to the vertical load capacity of the tested beams.
We assessed the predictive accuracy of the STOP-Bang questionnaire in relation to OSA detected by nocturnal oximetry, and postoperative outcomes, in a population undergoing cardiac surgery.
The authors of the previous paper used data from variable radius plots near northern spotted owl nest sites to assess the predictive accuracy of gradient nearest neighbor (GNN) maps in portions of Oregon and Washington, USA.
In this paper, we empirically assess the predictive accuracy of a large group of models that are specified using principle components and other shrinkage techniques, including Bayesian model averaging and various bagging, boosting, least angle regression and related methods.
The PRELUDE (PRogrammed ELectrical stimUlation preDictive valuE) prospective registry was designed to assess the predictive accuracy of sustained ventricular tachycardia/ventricular fibrillation (VTs/VF) inducibility and to identify additional predictors of arrhythmic events in Brugada syndrome patients without history of VT/VF.
An important feature of this methodology is that it can be used to assess the predictive accuracy of a model even if the model itself is not provided to the evaluator, so that proprietary tools can be evaluated while protecting the developer's intellectual property.
RMSPE is one of many measures that can be used to assess the predictive accuracy of the various models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com