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The experimental activity coefficients, γA and γB, proved difficult to correlate using the commonly utilized Gibbs excess energy models, with best results obtained from the T K Wilson equation.
Of the 16 SNPs tested, two SNPs showed a significant association with extreme myopia: rs12421026 (S7) was significant under all five models with best result under additive model (P = 0.0065), and rs11031423 (S14) was significant under additive and allelic models with best result also under additive model (P = 0.0277).
22 Finally, to evaluate differences in utilisation (count variables with excess zeros), we used zero-inflated negative binomial regression and zero-inflated Poisson regression, and we report findings for the models with best fit.
An important approach for selecting models with best predictive accuracy is cross-validation [ 34], where part of the data are used to calibrate the model whereas other subsets of the data are used to evaluate the model's predictive accuracy through an appropriate discrepancy measure.
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CFD analysis covers a detailed study of real and optimized model with best experimental agreement.
The INS system model with best performance characteristics was determined based on MC simulation results.
After selecting the predictive model with best set of features (SF-model), the model's final assessment was performed using of the IVS.
Furthermore, it can be non-chided that when the effort is spent to identify the regions in a model with best data coverage.
Thus, the novelty of our approach is that after feature extraction using PCA, a DT algorithm generates an ensemble of linear models, which through the GA is transformed into a model with best fit.
Model with minimum RMSE is chosen as the model with best fit.
(C ) Performance in the human model with best delays distributed as in the guinea pig model.
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