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These models were ranked, relative to the best model, based on the change in the Akaike Information Criterion (delta AIC).
First, it is flexible and identifies the best model based on the results of ANOVA and MAPE.
However, this study presents a flexible integrated framework to locate the best model based on the actual data.
Examples show that the proposed method offers a promising technique for selecting the best model based on a set of contributing criteria.
The best model, based on the results of pH test, foaming ability test and power of removal test, was found to be the quadratic model.
Tamura-Nei substitution model with uniform rate variation and pattern was chosen as best model based on AIC, cAIC and BIC values generated from jModelTest and MEGA7 softwares.
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The resulting set of models was then filtered for the best models, based on EST and homology support, to produce a non-redundant representative set of 13,937 gene models with characteristics described in Additional file 1: Table S2.
To determine the variables most consistently retained in the prediction models, we generated the 10 "best models," based on the proportion of variance explained, by calculating all possible logistic regression models retaining 10 variables.
It would have been possible, for each of the six combinations of smoking status and outcome we considered, to present analyses of "best" models, based on forward stepwise regression, that each included a different set of predictive characteristics.
This is likely to be because BayesTraits first identifies the best predictive model based on known tip data to then infer unknown ancestral states at each node of interest in the tree and can incorporate evolutionary trends.
The best model based solely on traditional markers consisted of creatinine at time of biopsy and INSCO with an adjusted R of 0.51 (p = 0.0014) (Table 5).
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