Sentence examples for greater predictive power from inspiring English sources
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.
The c-statistic values range from 0.5 (no greater predictive power than chance) to 1.0 (perfect prediction).
The cut-off value of cystatin C for renal dysfunction prediction was approximately 1.04 (mg/L, p<0.001), and cystatin C showed greater predictive power than creatinine for renal dysfunction (area under the curve=0.73 vs 0.65; p=0.65).
This also explains the models greater predictive power across different time scales compared to the first-order model.
At the state level across the conterminous US, population growth had greater predictive power on forest area change rate than did population density.
Our results indicate that functional traits have greater predictive power compared to taxonomic indicators for fish responses to a gradient of environmental degradation.
We found the support vector classifier trained on the 500 highest-ranked markers to have the greatest predictive power overall, correctly predicting the SMP response of 71.7% of the segregants on average for the SMPs considered (Figure 1).
A thorough analysis of the specific collection of DECOB modules and the (much smaller) collections of the prior approaches revealed that the DECOB modules possess the greatest predictive power, since it reveals well-known, relevant and predicts plausible, interesting relationships that other methods miss.
The seed sequence composition was also reflected in the prediction rate, with the 8mer seed region providing the greatest predictive power for observed changes for each miRNA.
It is found that metapopulation models can have great predictive power in nonequilibrium systems and that they can be particularly useful in enhancing one's understanding of the responses of species to landscape and climatic changes.
