Sentence examples for models performance on from inspiring English sources

Figure 6 illustrates the models' performance on the set of 770 additional materials, with relevant statistics displayed in Table 2.

Bessagnet, B. et al. Presentation of the EURODELTA III intercomparison exercise – evaluation of the chemistry transport models' performance on criteria pollutants and joint analysis with meteorology.

In this section, we compare the competing FR-IQA models' performance on the five FR-IQA databases in terms of SROCC, KROCC, PLCC, and RMSE.

The uncorrelated bioactivities 0.5 and 1 datasets served to assess the models' performance on compounds displaying a dynamic range of bioactivities across the cell line panel, while the latter dataset served to evaluate whether the models' performance improves when using replicate-averaged cell line sensitivity data (Supplementary Table S11 for details).

We demonstrate the strong dependence of our models' performances on important features.

To further assess model performance on a per target basis, we generated 10 RF models each one trained on a different subset of the whole dataset.

After an initial assessment of model performance on different platforms, we evaluated whether predictive signature features selected in one platform could be directly used to train a model in the other platform and whether predictive models trained using data from one platform could predict datasets profiled using the other platform with comparable performance.

On news articles, model performance dropped significantly, leading to the conclusion that sentence position was most responsible for model performance on news documents.

In the effort to make emotions true, to model performance on the plausible actions of life offstage or offscreen, the modern actor is often both too much and too little herself.

Comparative model performance on sands was also conducted by predicting sand thermal conductivity and comparing with the measured values collected from literature.

At twenty-three eddy covariance flux towers, we examined the model performance on all possible combinations of eight models and found that an ensemble with four models (BMA_Best) showed the best model performance.