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A sub-group analysis was performed to examine the performance of the model in the sub-groups in Table 5.
Six years of data from an ongoing field study in south central Minnesota (Sands et al., 2008) were used to support a modeling effort with DRAINMOD-NII to investigate: (1) the performance of the model in a region where soils are subject to seasonal freeze thaw and (2) the long-term hydrologic and water quality characteristics of conventional and alternative subsurface drainage practices.
However, the performance of the model in parameters related to the behavioral patterns was partially satisfactory.
The aforementioned tests demonstrate the good performance of the model in the idealized/process-oriented limits.
The performance of the model in terms of robustness and computational time is illustrated with several examples.
Finally, a through-process exercise was conducted to assess the performance of the model in multi-step simulations.
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The performances of the model in predicting O3 levels are discussed.
Although these results are plausible and consistent with existing knowledge, we suggest to interpret the results carefully due to the low performances of the model (in testing set, the AUC = 0.874, Kappa = 0.304, accuracy = 0.874, sensitivity = 0.987, specificity = 0.231).
Numerical studies are then conducted to determine the performances of the model, in terms of computation time.
The performance of the models in predicting in vitro susceptibility phenotype and virologic response in treated patients is described.
The results showed that using wavelet transform improved the performance of the models in both monthly and daily scale.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com