Sentence examples for model selection considered from inspiring English sources

AIC model selection considered in the context of hypothetical predictions supports island area as the most important predictor of body size (Table 2; Fig. 3).

The article by da Costa, Roemer, Haardt, and de Sousa entitled, "Multi-Dimensional Model Order Selection," considers the fundamental problem of deciding how many parameters are actually relevant to the model.

Model selection is considered successful when the best model is selected a posteriori from the data through the designed experiment.

Model selection is considered important because the use of alternative models can change the results of phylogenetic analysis.

In addition to this general criterion for model selection, we consider here domain-specific criteria that take into account the expected and necessary properties of model simulations in the particular context of endocytosis.

This illustrates the challenge posed for accurate model selection when considering recent demographic events.

We make consensus decisions on model validation and selection considering all the validation subsets.

Regardless of the groups used to establish a model for categorization, feature selection considers similar amounts of IT features among the top features (Fig. 1).

This study allows the impact of the statistical method and model selection to be considered.

We argue that knowledge-based, domain-specific criteria for model selection should be considered prior to or in conjunction with approaches based on the parsimony principle.

Covariates with P < 0.1 were included in a multivariate logistic regression model (LBW, anaemia) or linear regression (birthweight) as a starting model for a backward stepwise elimination model selection procedure and considered independent risk factors if P < 0.05.