Sentence examples for accuracy of our models from inspiring English sources

The likely explanation for the better performance of our models in the latter range is that more than 90% of our modeling set compounds have rat LD50 activity in the same range, between −2 and 2. Increasing the diversity and activity range of compounds in the modeling set should significantly improve the prediction accuracy of our models.

All performed tests confirmed high accuracy of our models (see Supplementary Fig. S5).

In addition, we validate the accuracy of our models under large head pose variation and facial occlusions in the Head Pose Image Database (HPID) [3] and Caltech Occluded Faces in the Wild (COFW) datasets [4], respectively.

We evaluate the prediction accuracy of our models using realistic traffic traces on real city maps, and compare their performance with a good baseline model.

This demonstrates robustness of predictive accuracy of our models in the NARAC cohort.

Experimental measurements were also proposed to verify the accuracy of our models.

The image shows a simple rendering example to verify the accuracy of our model.

We compared the predictive accuracy of our model to that of its component models, including greed (Eq. 2), inequity aversion (Eq. 3 4, and guilt aversion (Eq. 4 7.

We validate the accuracy of our model against data gathered by thermal sensors in our cluster.

We demonstrate the accuracy of our model by an extensive comparison with simulations.

Then the simulation results are compared against the UTF field data to confirm the accuracy of our model.