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The cost of the best models is higher ($750 to $999), but so is their quality.
Panel-A of Table 12 shows predictive accuracy of re-estimated models is higher than original model on estimation sample.
The electric field strength of 3D models is higher than that of the 2D model as expected.
Secondly, the positive impact of personal knowledge of other entrepreneurs reveals that the motivational impact of entrepreneurial role models is higher when individuals personally know other entrepreneurs.
The obtained results illustrates that the R 2 value of pseudo second order kinetic compared to the R 2 value, other kinetics models is higher, thus the 90Sr adsorption on CuO NPs/Ag-clinoptilolite is followed via pseudo second order.
Thus, considering that the number of precision bits l d in reference models is higher than in designed models, the quantization error E r is given by -2^{-l-1} + 2^{-l_{d}-1} leq E_{r} leq 2^{-l-1} - 2^{-l_{d}-1}.
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Accordingly, their contribution in the respective multivariate models is high.
It shows that GSSR models are higher in precision and more complex compared with GSR models.
The sensitivity of FSP + CVHI + inflammatory cytokine and CVHI + inflammatory cytokine models was higher than 90%.
In addition, the sensitivities of all classification models were higher than 87%, indicating that the pre-trained machine learning models are sensitive when identifying older people who are at high risk of falling.
R2 values of the established models were higher than 0.844, indicating that models were adequate to predict HMF content.
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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