Sentence examples for models selected are from inspiring English sources

The statistical models selected are Relevance Vector Machine (RVM), an implementation of Sparse Bayesian Learning, and the Automated Statistical Downscaling tool (ASD), an implementation of Multiple Linear Regression.

Only the results for the final models selected are reported.

Character profiles and partition-specific models selected are shown in Table 1.

The five models selected are among the common mapping models reported in a review of the literature on mapping (Brazier et al [ 6]).

Because other controls seem to have no material effect on the results, the final models selected are the ones in which the 1918 data are dropped but none of the other controls are implemented (i.e., the models in the second column of Tables 1 and 2).

For genetic estimates animal was fitted as a random effect with covariances proportional to the numerator relationship matrix along with permanent environmental effects (within round, between rounds and between years) where this was appropriate.> -wrap-foot> The final parsimonious models selected are described in Table 1.

The models selected were further checked by the variance inflation factor statistics (VIF) to assess potential colinearity.

The reduced models selected were assessed employing the average time-dependent AUCROC score to the external validation sets.

The models selected were a general time-reversible model (GTR) with a proportion of invariable sites (I) and a gamma approximation to the rate of variation among sites.

The models selected were WAG + I + G [ 58] for amino-acid sequences and GTR + G [ 59] for nucleotide sequences of Bartonella only.

The model selected was in all cases JTT+G, with an Akaike weight ranging between 0.74 and 0.75 (the analysis is provided in Supplementary File S1).