Sentence examples for models evaluated for from inspiring English sources

kern-0pt} {mathop sum limits_{r = 1}^{R} exp ( - 0.5Delta_{i} ),}} where ( w_{i} ) is the favorable weight of evidence to the ith model, and ( Delta_{i} = {text{AIC}}_{i} - {text{AIC}}_{ hbox{min} } ) is the difference between the AIC of the ith model and the minimum AIC found in all the R = 48 models evaluated for each of the two scenarios (with or without year).

Combined there were a total of 837 models evaluated for R and MSE by 10-fold cross validation.

Since the data for rat 1 and rat 2 differ in the additional two time points available for rat 2 (days 156 and 162), the models evaluated for the two rats differ, with a larger number of models evaluated for rat 2. For rat 1, the most likely model had a period of 55 days and grouped the data into 5 bins of 11 days duration each.

Table 2 also shows the area under ROC curve and sensitivity and specificity values of each of the models evaluated for the top 5% Year-2 cost group.

The genetic models evaluated for the polymorphism were the dominant model (GC+CC vs GG), the recessive model (CC vs GC+GG), the allelic gene model (C vs G) and the codominant model (CC vs GG and GC vs GG).

As described above, for each cross-validation interval, a best model is chosen based on highest accuracy of all models evaluated for that interval - resulting in a total of 10 models (one best model for each interval).

The genetic model evaluated for pooled OR was as follows: AA + AG versus GG and A versus G.

Physiological data were investigated by repeated measures modelling evaluated for distribution and the gastrointestinal sounds were evaluated using the Wilcoxon test.

The results of a multi-pollutant model evaluated for combinations of bins by quartiles of concentrations are shown in Table  4.

The simulation was run ten times and the mean results were compared with Φ (k ) from the theoretical model, evaluated for the case of haploid individuals using the described population size, mutation rate, and number of generations.

In the next step, extrapolation capabilities of both developed models, RSM and ANFIS models, were evaluated for unseen data.