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The results demonstrated that both models significantly reduce prediction error up to 52%and30%0% in the best cases compared to the existing Shift Model.
Evaluation results show that (1) both of the proposed models reduce the prediction error up to 52%and30%0% in the best cases compared to the existing Shift Model, (2) providing proactive route guidance helps reduce average travel time by up to 70% compared to providing reactive one and (3) non-rerouted vehicles could benefit more from route guidance than rerouted vehicles do.
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The completeness of the manually curated links was also very poor (only 93.8% in the best case) compared with that of the automatically generated links.
Given the small number of test cases compared to full factorial designs, it is common that the resulting best case after the analysis was not among the cases within the OA.
Given that California is a best-case scenario* compared to other states (and, of course, countries) far more dependent on coal, Long's piece and the underlying report pose a strong challenge to those calling for a "deploy, deploy, deploy" approach to cutting climate risks.
Model-2 also reduces MAE and SMAPE by up to 30% (τ=10 s) and SMAPE by 28% (τ=300 s) compared to the Shift Model in the best cases.
Model-2 also reduces MAE by 30% (τ=10 s) and SMAPE by 28% (τ=300 s) compared to the Shift Model in the best cases.
Elliott makes his best case for 1284 when comparing subsequent federal enforcement efforts in Colorado to those in California, where there's still no statewide regulation of medical marijuana.
The best-case scenario is compared to a scenario with less favorable boundary conditions.
Compared to the existing Shift Model, both of the proposed models can further reduce up to 14% of the average travel time in the best cases.
Both systems, as compared with the Si component alone, proved to significantly increase the photovoltaic performance, achieving at best a conversion efficiency of 20%, so almost doubling its efficiency in best cases.
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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