Sentence examples for achieve predictive power from inspiring English sources

For the above reasons we can consider TV show competitions as a case study for the use of open source indicators to achieve predictive power, or simply beating the news, about social phenomena.

We show that including the geographical information is a key ingredient in achieving predictive power.

In most of the comparisons, it achieves predictive power and model separation as high as the optimal hold-out partitioning scheme.

In Figure 5(C) and (D) we can observe that we are able to achieve greater predictive power using Twitter features in predicting multiplex links than Foursquare links in Figure 5(A) and in using Foursquare features in Figure 5(B), with the highest AUC scores of 0.82 and 0.84 for each set respectively.

In our second prediction task, we test this assumption by observing if we are able to achieve higher predictive power across cities when testing on the presence or absence of a multiplex link.

However, the employment of novel measurement techniques by itself is insufficient to achieve high predictive power.

The results also highlight that multiple models achieve comparable predictive power and are, thus, difficult to exactly discriminate from the data.

Furthermore, we show that even the best adaption of rFBA to simulation of human cell is still not able to achieve the predictive power of QSSPN (Table 1).

To achieve greater predictive power for hypertension and to compare the powers of individual physical factors and combined physical factors, two machine-learning algorithms (LR and NB) and a wrapper-based feature selection technique with an exhaustive search were used.

For models including a plausible number of risk variants with risk allele frequency of approximately 20% and odds ratios in 1.1 1.5 range, it is possible to achieve meaningful predictive power and substantial population attributable fraction (PAF).

The main goal of the iBAG model is to (i) identify more disease-associated genes, and (ii) achieve better predictive power, by treating gene expression as the downstream event that is regulated by different mechanisms (e.g. methylation, copy number and microRNA).