However, the Python implementation of multi-class ROC is explained here in detail. Computing the area under curve value takes just one line of code in Python using the “roc_auc_score” function of scikit-learn. It takes as input again, the true labels and the prediction probabilities and ...
The performance of this classifier was later compared to that of the other four classifiers described above using the area under the curve (AUC) of receiver operating characteristic (ROC, [39]). The AUC under the precision recall (PR) curve was also used to measure their performances in corre...
The only high potential application is a CNN for aspiration detection of VFSS videos, with an accuracy of AUC of 1.00 [25], but, as described above, VFSS is limited in its clinical use. Further studies investigated the possibility of identifying dysphagia by means of localization of the hyoid...