Sentence examples for predictive value of the model from inspiring English sources

Following model construction, cross validation of the data is employed to confirm the predictive value of the model.

Integration of the model with data from uncored wells shows that spatial variability may in some areas occur on distances smaller than current core-spacing (450 m), diminishing the geometric predictive value of the model in these areas.

The predictive value of the model was good for the development and validation groups, with a c-index of 0.79 and 0.78, respectively.

The predictive value of the model was tested by designing two trans-acting ribozymes which were circularly permuted composites of genomic, antigenomic, and unique sequences.

Addition of aEEG pattern to HIE stage did not add to the predictive value of the model; the area under the curve changed from 0.72 to 0.75 (P=.The.The aEEG background pattern did not significantly enhance the value of the stage of encephalopathy at study entry in predicting death and disability among infants with HIE.

Prediction of the level of tracer metabolites in the brain is not straightforward; however, it appears to not deteriorate the predictive value of the model, which is consistent with metabolites generally having more hydrogen bond acceptors and therefore increased probability of being effluxed at the blood-brain barrier.

An increase in the volume parameter (n), to assume greater parallel organization, improved the predictive value of the models.

Use of validation techniques reduced the degree of optimism in the predictive value of the models.

This is to establish the predictive value of the models, since validating the models on the same year they were learned would not have yielded any information about the predictive performance of the models on new unseen data.

Area under the receiver operating curve (AUC) was calculated to determine the predictive value of the models (0.5 0.7 is poor, 0.7 0.9 is good, and >0.9 is excellent).

Remarkably, when linear regression analyses, containing both serum markers and scoring methods, were performed, results demonstrated that serum markers did not increase the predictive value of the models for cartilage and bone damage.