Sentence examples for predictions are expressed from inspiring English sources

The predictions are expressed as percentage probabilities based on how many people bet each way.

Individual predictions are expressed on a probability scale, making it more easily understood by patients and clinicians than relative rates or hazard ratios [ 13].

To estimate the proportion of predicted genes in the genome, the number of gene predictions is expressed as a percentage of the total of number of genes both predicted and from UniGene.

From this sample, we queried as to which candidate transcripts associated with differential expression in a particular tissue (on the basis of the EST predictions) was expressed in the corresponding normal tissue (according to the SAGE data).

The quality of predictions is expressed in terms of their respective coefficients of variation, COV, for the 26 specimen geometries.

Results of prediction are expressed as odds ratios (ORs) and 95% confidence intervals (CIs).

To limit redundancy, results from the analyses using RR are not presented in detail, but RR performed very similar to PLSR as shown in Figure 2. Relative accuracies of prediction are expressed as percentage of the accuracies obtained with 42,467 SNP and are shown in Figure 3 for bulls and Figure 4 for cows.

The uncertainty of this prediction is expressed by the 95% confidence interval (CI) of the mean regression line (Figure 3, fine dotted lines).

The goodness of model fit is indicated by a root mean square (RMS) error, whereas the success of the prediction is expressed by a root mean square error of the test set.

In such a scenario, predictions with scores greater than or equal to τ are considered positive predictions, whereas the remaining associations are considered negative (if the strength of a prediction is expressed via P-values or E-values, values lower than the threshold would indicate positive predictions).

We introduce a general validation metric that can be used to characterize the disagreement between the quantitative predictions from a model and relevant empirical data when either or both predictions and data are expressed as probability distributions.