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This was higher than the test set performance of Set A by 0.17 for the PLS models in the test set.
The results of three models in the test phase are graphically compared by the plots of both observed and predicted values (Figs. 11, 12, 13).
Table 2 summarises the performance of the models in the test set, including the original B/T criteria.
Tests for goodness-of-fit of the models in the test and validation datasets permitted acceptance of the fit (p values equalling 0.74 and 0.16, respectively).
The overall 26 misclassifications by the five models in the test dataset were due to 11 normotensive controls and 2 hypertensive cases.
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MDR is next performed on all x models in the testing set and the best model for each level of interaction is preserved for evaluation of predictive ability in the validation set.
Besides, we also employed the DES model in the test step of a control system in real time.
An industrial perspective is also provided, highlighting the current use of modelling in the test and design cycles, and outlining future requirements.
The performance of the simplified model in the test population is shown in Table 5.
The performance of the predictive model in the test population is shown in Table 4.
Replication of this model in the test set yielded a CFI of 0.92.
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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