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Besides, we also employed the DES model in the test step of a control system in real time.
The model and the balance system are supported by rubber bushes, which leads to minimally restrained free floating conditions of the model in the test section during the flow duration.
Open image in new window Fig. 5 Correlation coefficient of modular neural network of the second model in the training stage Open image in new window Fig. 6 Correlation coefficient of modular neural network of the second model in the test stage Table 4 Mapping range of the second model Rang 0 0.5 1 Network output <0.3 0.3 < Output < 0.73 >0.73.
Replication of this model in the test set yielded a CFI of 0.92.
The performance of the predictive model in the test population is shown in Table 4.
The performance of the simplified model in the test population is shown in Table 5.
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Next we evaluate the performances of the built SGB model in the testing set.
They questioned the validity and the clinical relevance of the open gap model in the testing of closing wedge osteotomy techniques.
Furthermore, we validated the predictive value of our SVM model in the testing set (119 cases).
We evaluated the performance of the prediction model in the testing set using the area under the receiver operating characteristic (ROC) curves, or AUC (Janssens et al. 2004).
The accuracy of the established GA classification model in the testing was verified, which included 18 patients with CaOx nephrolithiasis and six healthy volunteers.
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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