Sentence examples for prediction for new from inspiring English sources

The developed consensus model estimates both the applicability domain [59] and the accuracy of the prediction for new compounds based on the CONSENSUS-STD distance to model [44, 59].

Overall, camb constitutes an open-source framework to perform the following steps: (1) compound standardisation, (2) molecular and protein descriptor calculation, (3) descriptor pre-processing and model training, visualisation and validation, and (4) bioactivity/property prediction for new molecules.

A model is regarded valid only within its training domain and only the prediction for new compounds falling within its applicability domain can be considered reliable and not model extrapolations.

In this context, camb provides an open framework to (1) compound standardisation, (2) molecular and protein descriptor calculation, (3) pre-processing and feature selection, model training, visualisation and validation, and (4) bioactivity/property prediction for new molecules.

A model is considered valid only if it is able to make predictions within its training domain and only the prediction for new compounds falling within its applicability domain can be regarded credible and not model extrapolations.

In spite of recent setbacks like withdrawn merger offer, abrupt executive departures and a delay in quarterly reporting due to the restating of past finances, Leap still managed to beat its own prediction for new customer growth in the fourth quarter of 2007.

Table 2 shows the prediction for new-onset CKD during followed-up period.

The addition of Prx4 to a validated diabetes risk score significantly improved risk prediction for new-onset type 2 diabetes in terms of discrimination and reclassification.

The predictive ability of the model was estimated by cross-validation and by external predictions for new HIV variants; both procedures showed very high correlation between the predicted and actual susceptibility values (Q2 = 0.89 and Q2ext = 0.86).

Consumer Reports does not issue predictions for new or overhauled models.

The trained ensemble is then put to use in making predictions for new molecules.