Table 2 The testing accuracy for iPhone e-mails dataset Approach Accuracy DT 91.8 SVM 90.6 BPN 88.1 (k NN [36] 89.2 The propose ABBDT approach 94.8.
Table 3 The testing accuracy for spambase dataset Approach Accuracy DT 92.6 SVM 91.5 BPN 90.4 (k NN [36] 90.8 The propose ABBDT approach 93.7.
A comparison of the obtained results with those of other approaches demonstrates that the proposed ABBDT approach improves the testing accuracy for both datasets.
Aim of this study was to evaluate the flexion-adduction-internal rotation (FADIR) test accuracy for screening cam and pincer morphology in youth male ice hockey players without diagnosed hip disorders.
Summary measures of test accuracy for both sample sources were: for the urine group sensitivity, specificity, LR+ and LR− were 59.1%, 92.9%, 9.6 and 0.23 respectively; whereas for the saliva group values were 69.1%, 94.7%, 14.4 and 0.33 respectively.
We used the bivariate method modelled in Winbugs (Medical Research Council Biostatistics Unit) to pool test accuracy for the studies.
However, additional analysis of angiogenic markers may improve the test accuracy for detecting PE.
We recommend this approach for the development of new tests, and for reporting test accuracy for different patient populations.
To identify the proportion of articles reporting on test accuracy for which the corresponding study had been registered.
We further compared the LOOCV accuracy for the training data and the independent test accuracy for the test data from these four models.
