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Longitudinal evidence without further validation yields biomarkers of age, so we checked the literature for deleterious or beneficial effects.
Incorporating the MI procedure in the validation yields estimates of optimism that are closer to the true value, albeit slightly too larger.
However, as the PRISM is a rather abstract instrument, and no golden standard measure of suffering exists, its validation yields serious problems.
Consistent with previous work [ 11] our approach of combining computational and experimental validation yields a high success rate in predicting the existence of splice variants.
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Model validation yielded satisfactory results indicating relevance of the model to explain ACE inhibition while ultrasound pretreatment showed strongest effect on ACE inhibition of MPC hydrolysates.
Leave-one-out cross validation yielded an RMSE of 30.6 mg∙ha−1 (20.9% of the mean).
Leave-one-out cross validation yielded an RMSE of 53.7 mg∙ha−1 (36.8% of the mean) and a BIAS of 3.7.
15 15 π Total number desc. 3 3. Out-of-bag validation yielded RMSD of 7.09 kcal/mol, MAD of 4.46 kcal/mol, R2 = 0.952 and the maximum error was 56.29 kcal/mol.
Using these two PCs as features, LDA leave-one-out cross validation yielded a classification accuracy rate of 71.9% (specificity: 78.9%; sensitivity: 61.5%) and F-score of 0.769.
Using it as feature, LDA leave-one-out cross validation yielded a classification accuracy rate of 81.3% (specificity: 89.5%; sensitivity: 69.2%) and F-score of 0.850.
Using left CgH volume as feature, LDA leave-one-out cross validation yielded a classification accuracy rate of 65.6% (specificity: 78.9%; sensitivity: 46.2%) and F-score of 0.732.
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