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Bottom panel shows the residual plots for the quality of fitting.
The SRM principle matches model complexity to the available data through controlling the tradeoff between complexity of the model and quality of fitting the data.
Here, we present a general class of compartmental tracer transport models which allows a systematic comparison of different models regarding the quality of fitting to the experimental data.
Therefor the structural risk minimization (SRM) principle describes a general model of the capacity (or complexity) control and provides a trade-off between the hypothesis space complexity (i.e., the VC-dimension) and the quality of fitting the training data.
Despite different in quality of fitting and effect sizes of various safety factors from different models and data aggregation methods, there were consistent results in terms of the factors that were found to have statistically significant effect on collision severity.
The quality of fitting was assessed by the coefficient of determination of the regression.
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An Δ AIC ≤ 2 indicates substantial support that the two models do not differ in the quality of fit, values between 4 and 10 indicate some support that they differ in the quality of fit, and Δ AIC ≥ 10 provide much support that the models differ in their quality of fit [ 75, 76].
From the quality-of-fit perspective, all of the seven Eqs. characterized large part of the datasets properly.
ReMDFF results scored highly on the various metric for judging the quality-of-fit and quality-of-model.
The quality-of-fit of polynomial model was expressed by the coefficient of determination r 2 and statistical significance was checked by F test in the program.
We conclude that the resulting simplified model M6 is both identifiable, and it balances quality-of-fit and model detailedness.
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