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Analytical (one dimensional) and computational fluid dynamics models showed satisfactory prediction performance in comparison with the experiment.
The resulted models showed satisfactory prediction ability, with the average absolute error for the external test set being 2.506 K for the MLR model and 2.537 K for the MNR model, respectively, both of which were within the range of the experimental error of FP measurements.
In general, the structural models showed satisfactory fit indices, according to Table 2.
All models showed satisfactory generalization ability: again the Bayes quadratic model exhibited the best generalization, while artificial neural networks and scoring systems gave the worst results.
All models showed satisfactory generalization when evaluated in our specialized ICU, because the percentage difference in AŨC between training and testing data was always less than 8% (Table 9).
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Each of the 11 toxicity response PLS models showed satisfactory-to-excellent performance in the validation by permutation tests (results of validations not shown, except the example given in Appendix 2).
The STM and bilinear force displacement response envelopes obtained from the models show satisfactory agreement with the experiments of the original and repaired bridge assemblies in terms of initial stiffness, lateral load and displacement capacity.
Both the models show satisfactory results although LR model using equal number of landslide and non-landslide pixels shows slightly accurate results in total.
Likewise, the model showed satisfactory performance in simulating soil moisture where EF was higher than 0.90 with RMSE of less than 10%.
Simulated mean flow fields and mean forces acting on a building model showed satisfactory agreement with those from experiments verifying the accuracy of the tornado simulator.
With respect to both the spatial variation of particle velocity and the rate of descent of the top surface of the bed, the model showed satisfactory agreement with the experimental data.
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