Figure 6.

Benchmark scenario and cross–validation classification rates. We compare results obtained by tuning the thresholds on T2 and using T2 as a testing set (a) and real-life scenario obtained by tuning the thresholds on T1 and using T2 as a testing set (b). For sub-figure: From top to bottom, rates of correct classifications, misclassifications, and unsure classifications for each post-processing: (1) Goal 1: Minimizing misclassification with $C{C}_i=maxC{C}_i$, (2) Goal 2: maximizing correct classifications under the constraint of having less than 5% of misclassifications, (3) Goal 3: maximizing correct classification with $M{C}_i=minM{C}_i$, (4) No post-Processing.