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Figure 2 Finite and full buffer traffic models comparison.
More discussion about the models comparison is shown in the following section.
The research framework of this study is shown in Figs. 1 and 2. Fig. 1 Models comparison Fig. 2 Research framework of this study.
Results are shown for RMSE and R2 statistics and all pairwise model comparisons Fig. 3 Models' comparison of resampling results for Housing training set (data split 1).
The a-Si/μc-Si PV plant, installed at Portici, represents an adequate case study for the three models comparison, as both design and acquired data are available.
To evaluate the performance of the selected ANN and adaptive neural fuzzy inference system (ANFIS) models, comparison is made with the autoregressive (AR) models.
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Without the same parameters in my models, comparisons are difficult.
a Bivariate results from simple (unadjusted) linear regression models, comparisons with reference group.
Model comparison.
Make, if you want, a model-by-model comparison.
The likelihood ratio test was also performed for model comparison.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com