Sentence examples for between the predictive power from inspiring English sources

To bridge the semantic gap between the predictive power of computational saliency models and human behavior, we propose a new saliency architecture that incorporates information at three layers: pixel-level image attributes, object-level attributes, and semantic-level attributes.

A mathematical relationship between the predictive power of two variables and the correlation coefficient between them was the basic tool for the comparisons.

There was no statistically significant difference between the predictive power of the STESS and the EMSE regarding in-hospital mortality.

There was no statistically significant difference between the predictive power of two scoring system regarding in-hospital mortality.

Our results suggest that there was no statistically significant difference between the predictive power of two scoring systems regarding in-hospital mortality.

There was a significant interaction between the predictive power of ADMA tertiles for the MACE risk and diabetic control (interaction p = 0.01).

We have tested the statistical significance of differences between populations, the predictive power of the variables, akin to their importance, and the expected predictive performance that may be achieved using the selected variables.

However, when the far more challenging cross-donor validation is attempted, strong differences become apparent between the predictive powers of different feature types.

At this level of extreme similarity between the model structures, model selection based on tiny differences between the predictive powers of the models leads to random conclusions that are heavily dependent on the specific noise realization in the data.

Incorporating interactions between predictor variables increased the predictive power of our models, particularly for Porites trematodiasis (PorTrem).

Receiver operating characteristic (ROC) curve analyses were applied to check the optimal cut-off values of the different scores for AKI diagnosis and to further evaluate the predictive power between them, considering the differences between the areas under the empirical ROC curves (AUC).