Figure 10
ROC curves showing the performance for each outcome variable in the regression models 1, 2 and 3 ((A), (B) and (C) respectively). In model 1, (A) AUCs of the classifier, Observer 1 and Observer 2 were 0.9265, 0.9813 and 0.9074 respectively. In model 2, (B) AUCs of the classifier, Observer 1 and Observer 2 were 0.9041, 0.8395 and 0.8622 respectively. In model 3, (C) AUCs of the classifier, Observer 1 and Observer 2 were 0.9152, 0.9411 and 0.8934 respectively.
Receiver Operating Characteristics (ROC) for each classification.

ROC curves showing the performance for each outcome variable in the regression models 1, 2 and 3 ((A), (B) and (C) respectively). In model 1, (A) AUCs of the classifier, Observer 1 and Observer 2 were 0.9265, 0.9813 and 0.9074 respectively. In model 2, (B) AUCs of the classifier, Observer 1 and Observer 2 were 0.9041, 0.8395 and 0.8622 respectively. In model 3, (C) AUCs of the classifier, Observer 1 and Observer 2 were 0.9152, 0.9411 and 0.8934 respectively.

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