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The model fitting performance with SVM is proved to be greatly improved by modifying the Sigma and C parameters.
A simulated dose response curve with 95% PI was overlaid with observed data to evaluate the model fitting performance.
Success rate curves reveal a decrease in the model fitting performance when using the 1954 land use map, due to a reduction of slope units classified as unstable and an increase in stable terrain.
Several LS zonations have been proposed in the literature using different techniques and models, numerous combinations of thematic variables, and various methods to evaluate the model fitting performance and the prediction skills.
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After trial and error, we arrived at the following ways to improve model-fitting performance: Because the dimension of ξ is high and standard EM procedures tend to converge to a local mode instead of the global mode, it is useful to average inferences over multiple EM runs.
We note that the partitioning of the data into separate training and test datasets, as was done in our analysis, is recommended in the statistical literature in lieu of using the same dataset for both model fitting and performance evaluation; the latter approach can result in misleadingly positive results [ 28].
The model fitting was performed using R.
Model fitting was performed via maximum likelihood.
Structural equation model fitting was performed in Mx.
As the Aw model had the better fitting performance, the sorption isosteric heat values calculated from the water activity sorption isosteric model were more close to the sorption isosteric heat values obtained from other methods.
Brouser Weron Sototlongo kinetic model has a good fitting performance; it states such quality data (i.e., adsorption capacity close to experimental data, qe(BWS), and the time of half reaction (t bws,α) which are very useful for an industrial treatment design (Ncibi et al. 2014).
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