Sentence examples for predictions in practice from inspiring English sources

Finally, experiments are performed in order to validate chatter boundary predictions in practice.

In conclusion, small changes in the spatial scale may result in a clear decrease in the model performance and thus caution should be exercised when implementing the models and their predictions in practice.

In the event, the continuing health sector reform programme did not result in increased availability of medicines in the government facilities or improvements in explanations given [ 38], so it was not possible to examine the "accuracy" of the predictions in practice.

For some of the problem variants, such as the RNA Base Pair Binding Probabilities problem (which is considered to be one of the variants that produces more reliable predictions in practice), no speedup to the standard algorithms has been previously described.

These equations could be used for prediction in practice.

The reliability of genomic prediction was evaluated by assigning all 5503 bulls to either the training or validation set based on year of birth, according to the protocol used to validate genomic prediction in practice.

This result suggests that using pre-existing knowledge of known compound protein interactions can improve the predictive performance of the method; thus, a supervised learning framework is encouraged for compound target prediction in practice.

Overall, the confidence intervals derived from the ensemble standard deviation provide an estimation of the reliability of individual predictions, as in practice, this plot can be used to determine the β value corresponding to a given confidence level.

However, this does not always lead to poor prediction results in practice.

However, because of the way breeding programs operate currently and because relationships contribute significantly to prediction accuracy, in practice, it may not be possible to avoid this problem, other than by using training populations that include multiple breeds or lines.

The accuracy of top ranked predictions is important in practice because experimental validation will be preferentially conducted on high-confidence predictions rather than low-confidence predictions.