Sentence examples for maximum balanced accuracy from inspiring English sources

Results: The assay was highly predictive of mammalian reproductive toxicities, with a 69% maximum balanced accuracy.

As the duration of the follow-up increased, the maximum balanced accuracy threshold decreased, i.e. later EBM stages were better at predicting faster conversion times.

The model's staging system strongly separates cognitively normal and Alzheimer's disease subjects (maximum classification accuracy of 99%), and predicts conversion from mild cognitive impairment to Alzheimer's disease (maximum balanced accuracy of 77% over 3 years), and from cognitively normal to mild cognitive impairment (maximum balanced accuracy of 76% over 5 years).

First, we check whether the false detection rate is close to the expected value when there is no gene-gene interaction effect because the best model is selected using the maximum balanced accuracy in the algorithm of MDR.

As shown in Supplemental Material, Figure S1A,B (http://dx.doi.org/10.1289/ehp.1206301), we calculated the maximum balanced accuracy, which corresponds to the average of sensitivity (ability to correctly identify true positives) and specificity (ability to correctly identify true negatives) and is, therefore, a representation of the predictive value of the screen.

Through 10-fold-cross validation the best combination of loci with maximum train balanced accuracy (BA) which is average of sensitivity and specificity was chosen at each fold.

The model with the maximum testing balanced accuracy (TBA), a CVC > 5 out of 10, and a minimum prediction error (PE /misclassification error for that comparison was considered as the best model [ 42].

According to MDR analysis, ccRCC is best explained by the four-factor model comprising rs4765623 in SCARB1, rs4953346 in EPAS1, rs9904341 in BIRC5, and rs7121 in GNAS1 with balanced accuracy (BA) of 0.5828, cross-validation consistency (CVC) of maximum level 10/10, and permutation testing P value of 0.036 (Table 2).

In some cases, we have reported balanced accuracies wherever we have information about specificity and sensitivity i.e., Balanced Accuracy = ½ * sensitivity + specificity.

Table 2 shows the balanced accuracy, sensitivity, specificity, area under the receiver operating characteristic (ROC) curve, and maximum accuracy threshold EBM stage for classification of MCI-stable versus MCI-converters over different follow-up durations.

The balanced accuracy is 80.43%.