Sentence examples for the model is likely from inspiring English sources

The model is likely to be approved for production; Bentley executives quoted prices and sales projections.

If the obtained metrics were beyond the maximum values (for Q ext 2, R 0 ext 2, and R ext 2 ) or the minimum values (for RMSEPext) of the distribution, the model is likely to be over-optimistic.

If the obtained metrics were beyond the maximum values (for (q_{textit {test}}^{2}) and (R_{0 test}^{2})) or the minimum values (for RMSEtest) of the corresponding distributions, the model is likely to be over-optimistic [52].

Although probability gains estimated from fitting are not necessarily a good guide to future performance, these values indicate that the model is likely to perform betterathigher magnitudes thanatlower magnitudes.

However, the model is likely to underestimate the historical density of dugongs along the urban coast of eastern Queensland (Figure 2).

Generalizing the model is likely to give us more insights into the dynamics of group selection and conflicts between levels of selection.

Factors that affected the model were likely to be a better explanation for variation in local dominance than residence time.

The models are likely to be domain independent and, therefore, scalable across different knowledge domains.

Categorical variables included in the models are likely to represent surrogates for site fertility.

However, as with all machine learning methods, the models are likely to be most relevant within their domain of applicability and are likely to perform less well against novel molecules that are very different from those in the training set.

Although our data do not rule out the embrace or the physical interaction models for cohesin binding to chromatin (Figure 1), the TEM images suggest that the models are likely not accurate representations of cohesin maintenance at CAR loci.