Sentence examples for more correctly predict from inspiring English sources

Further modeling needs involve an understanding of the chemistry of these materials and reflect the more modern approach to the physico-chemical structure of petroleum in order to more correctly predict the onset of precipitation as well as the location and amount of the sediment deposition in the producing wells and in oil-transport pipelines.

The ability of CysC to more correctly predict GFR among older people and to respond to rapid changes in GFR compared with creatinine could explain the stronger association between CysC levels and IE prognosis compared with creatinine levels.

For each analyzed miRNA, the percentage of validated and more correctly predicted genes (p-value<0.01) in the networks was calculated.

Again, the GCS status was more likely to correctly predict weaning outcome in patients with AE (82%) and the GCS performed better than the SSR status in patients with SDH/ICB, correctly predicting weaning outcome in 100%.

However, this is not of interest from a diagnostic perspective since it mainly reflects the imbalance in the test set given that the adjusted classifier is more likely to correctly predict membership of the larger class.

Results: Students more often correctly predicted clerkship than examination grades.

Of greater significance is the flexibility afforded by the nonlinear heteroscedastic Gaussian regression model for a range of potential end-users, who may all have different answers to the question: "What is more important, correctly predicting exceedences or avoiding false alarms?".

In general, all obtained models were able to correctly predict more than 80% of the inhibitors with an overall prediction accuracy of >70% for the test set.

Recent reviews of ab initio methods indicate that they can correctly predict more than 90% of the coding bases and 70 75% of exons.

Moreover, the method will more strongly penalize methods that correctly predict high saliency of centered objects than methods that highlight irrelevant background at the boundaries of the images.

More importantly, the model fails to correctly predict the cracking behavior observed experimentally on the material.