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These land-use change models identify the best coefficient for predicting growth and land-use changes until the present using data from the past to the present as input for predicting urban land-use change (Jeong et al., 2002).
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The Spearman's rank correlation coefficient for predicted versus observed serum concentrations is 0.67.
The Grau second order model found as the best model for predicting MBBR performance due to its high correlation coefficients and more conformity of its kinetic coefficients to the results.
Results show that the quadratic model is best fitted for predicting the removal efficiency with regression coefficients closer to 1 and a lower root mean square error.
The modified Ergun model with higher values for coefficient of determination, lower values for root mean square error and mean relative deviation modulus was the best model for predicting pressure drop across green figs bed for the conditions studied.
Indeed, the hybrid radiation model is the best performing one for predicting commuting flows, while the hybrid gravity model is the best one for predicting air transportation flows.
ESG and AS are the best tests for predicting RA.
The hip is the best site for predicting risk of hip fracture and osteoporotic fractures overall.
In our sample the OLS model produced the best fit for predicting the utility mean.
IPCL was the best PK parameter for predicting renal toxicity, showing the best predictive values.
The RSM model was best for predicting the fraction of the cells disrupted.
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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