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Two models using each of them were not only successful, but also robust.
The descriptor set yielding the best cross-validated initial Winnow model was used to build models using each of Winnow, Random Forest and Support Vector Machine.
The beta-coefficients and corresponding p values from the meta-regression models using each of the above parameters in turn are presented in table 1.
We tested two-pollutant models using each of the gas and PM measures together (Table 4).
This was performed with CPH models using each of the risk factors alone, or along with GP88.
We constructed models using each log10-transformed BPA concentration and quartiles of BPA concentration as the independent variable.
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The GP was modeled using each function combination and the cost of each one is calculated.
We then ran the branch model using each FoxO lineage as the foreground branch.
We then ran the M2 branch model using each UCP Eutherian lineage as the foreground branch.
We then calculated the predictability of neuronal firing patterns generated by the independent coding model using each of these phase fields.
This hypothesis was tested by assessing if the reduced model could predict the change in p from the full model, using each of the three postulated mechanisms to reduce WEC.
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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