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The results show that MIRNA, CNA, and EXPR models have acceptable agreement in LUAD, OV, and GBM irrespective of the method (Fig. 4).
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The coefficient of determination (R2) and the mean square error (MSE) of these two surrogate models demonstrated that both models had acceptable approximation accuracy, furthermore, the approximation accuracy of the Kriging model was slightly better than that of the RBFANN model.
Most researchers focused on the development of statistically accurate models, having acceptable predictive capabilities, and based on enough reliable available data.
Approximately 33% of the resulting models had acceptable stereochemical and steric profiles, given the above restraints.
All models had acceptable calibration (P>0.05).
All adjusted models had acceptable goodness-of-fit (p > 0.05).
Asian prevalent CKD risk models had acceptable performances in mixed-ancestry South Africans.
All models had acceptable discrimination capacities on test data, because their AŨC was always greater that 0.7 and less than 0.8 [ 11].
According to the Hosmer and Lemeshow criterion [ 15], all locally customized models had acceptable discrimination capacities in the testing data set, because their AUCs were much greater than 0.7 and less than 0.8.
All the logistic regression models had acceptable goodness of fit (p-values ranged from 0.118 to 0.952), and none of the predictor variables had a Spearman's rho above 0.7.> -wrap-foot>> -wrap-foot>> -wraFearot>> -wravoidanceaFear avoidance beliefs of work, bFear avoidance beliefs of physical activity, **significant at level p < 0.05, *significant at level p < 0.2.
Besides, results showed that the SVM model had acceptable uncertainty in BOD5 prediction.
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CEO of Professional Science Editing for Scientists @ prosciediting.com