Sentence examples for making useful predictions from inspiring English sources

Better still, it has a far lower "false alarm" rate, generating an average of ten false alarms for each fraudulent transaction, compared with 97 for its predecessor.Predict and provideThe next step, making useful predictions from real-time data, is some way off, though many BI vendors claim to be able to do it already.

This is particularly the case because transmission in nature is highly heterogeneous and this would be particularly important in low transmission settings [22], [23] so an adequate model for transmission heterogeneity would be essential for making useful predictions concerning local elimination.

That means in most situations the rt-CDSS with these qualified algorithms are making useful predictions.

This is an important and powerful feature for making useful predictions, and will be relevant in the genome-wide G-quadruplex study in Section 4. To understand the mechanisms of G-quadruplex stability it is useful to be able to analyse which sequence features play a role in determining the stability of a G-quadruplex.

The hard work lies, for example, in creating a constructional system that overcomes the problems of its predecessors, is simple, uses well-entrenched predicates, or successfully replaces them with new ones (which is even harder), allows us to make useful predictions and so on.

However, as we have previously shown, even such noisy TF target predictions contain sufficient information to allow us to make useful predictions of the biological roles of the TF (Bodén and Bailey, 2008).

Thus, the average cross-validation measurements are used to determine which TF classifiers can make useful predictions (i.e., better than expected by chance).

JOHN DOUARD Montclair, N.J., Aug. 29, 2013 The Writer Responds Messrs. Berman, Ruhmkorff and Goldschmidt all point out that even though seismology or meteorology can't predict particular earthquakes or storms, they still make useful predictions of a more limited sort.

Although we state that a predictive power of 0.70 is still sufficient to make useful predictions, this demonstrates the importance of a high quality training dataset for reaching excellent predictive power such as in all other conditions.

Although models that are currently used for inferring regulatory networks are sometimes able to make useful predictions about the structures and mechanisms of molecular interactions, there is still a strong demand to develop increasingly universal and accurate approaches for network reconstruction.

The spatiotemporal response of species to past global change must be understood for adaptive management and to make useful predictions.