Sentence examples for predictability of data from inspiring English sources

Hence, autocorrelation ranges between −1 and 1, where a value of 0 implies no correlation at all, and −1 and 1 show perfect predictability of data ahead in time.

Using two-component separation with 69 urine metabolites, a supervised orthogonal partial least squares model was built with R Y=0.142 (model's fit of data) and Q=0.0463 (model's predictability of data in sevenfold cross-validation) to separate normal participants (those without adenomatous polyps) from those with adenomatous polyps.

One of the key limitations of the many existing visual tracking method is that they are built upon low-level visual features and have limited predictability power of data semantics.

Overall, the predictability of TF data is higher than the predictability of histone data (Wilcoxon rank-sum test, p-value 0.0002).

"In this case, we don't see the decision by a single developer as a definitive statement on the predictability of the data".

In summary, the PBPK models presented in this article have shown good predictability of observed data in adults and in almost all pediatric age groups, except in neonates where a lower predictive performance was seen, which indicates a more cautious use of model-generated data in this age group.

We have searched but not found any publication that presents statistical data concerning the predictability of medical history data.

The first striking observation is that the overall predictability of ChIP-seq data (in terms of the total POV explained) increases dramatically with increasing scale, for all three cell lines and both data groups.

As we expanded the scale of our analysis by increasing the window size, we found that the overall predictability of ChIP-seq data using all influences together steadily improves.

Existing allometric equations for lianas suffer from low predictability due to rarity of data for very large individuals (Schnitzer et al., 2006).

In this section, we observe a remarkably consistent trend wherein the predictive power of some predictors, and consequently the total predictability of the ChIP-seq data, improves significantly as the scale becomes larger.