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The step-wise validation shows that our model predicts the static response including hysteresis behavior of a collapse-mode CMUT with a high accuracy.
These results are used for a step-wise validation of the numerical model that is based on the identified model parameters and allows to study the propagation of errors in the prediction model.
A site-wise hold out validation of EPO calibration demonstrated that EPO calibrations were robust to changes in soil characteristics and parent materials between study areas.
The size of additional hashing values N is varied from 22 to 2. Figure 4 and 5 shows the AUC scores for MH-L1SVM and MH-L2SVM in the pair-wise cross validation.
The same trends for these results in the pair-wise cross-validation were observed in the block-wise cross-validation as well (See Tables 3 and 4).
In the pair-wise cross-validation we performed the following 5-fold cross-validation.
In the block-wise cross-validation we performed the following 5-fold cross-validation.
Similar tendencies exhibited in the pair-wise cross-validation can be observed in the block-wise cross-validation as well.
The AUC scores in the block-wise cross-validation were lower than those in the pair-wise cross-validation, which implies that predicting unknown interactions for newly coming compounds and proteins outside of the learning set is much more difficult than detecting missing interactions between compounds and proteins in the learning set.
The AUC scores in the block-wise cross-validation were lower than those in the pair-wise cross-validation, which implies that predicting unknown interactions for newly coming drug candidate compounds and target candidate proteins is much more difficult than detecting missing interactions between known drugs and known target proteins.
Another observation is that the block-wise cross-validation provides lower AUC scores, compared with the pair-wise cross-validation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com