Sentence examples for models performance the from inspiring English sources

In order to make statistically meaningful conclusions on the models performance, the left-tailed F-test is conducted on the prediction residuals between the metric outputs (after nonlinear mapping) and the subjective ratings.

In order to assess results, and have a reference of the developed models performance, the results will be compared with the ones obtained for models without a feature selection step and for models using other feature selection/reduction techniques such as Principal Components Analysis and Genetic Algorithms.

To further evaluate the models' performance the echocardiography data obtained within ±3 month from the index hospitalization for 854 subjects admitted to one of the hospital were assessed.

To ascertain the model performance, the model needs to run on at least one year (most often, two years) of historical data, requiring advanced computer power.

To determine model performance, the root mean square error (RMSE) was used.

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

Generally, the larger the PCC value, the better the model performance, while the lower the RMSE/MAE/MAPE value, the better the model performance.

For model performances, the models will be evaluated in terms of out-of-sample forecasting statistics.

The genetic algorithm did not improve the models performance significantly compared with the nonlinear mathematical optimization.

For ICC values of 15% or 30%, the model performance of the standard model and the marginal risk calculation was better compared to model performance in datasets without associations between the clustering and a predictor.

The measures of the model performance of the model h2 are only slightly worse than those of h4.