Fig. 3

Histograms (left) of y _opt =Δ x ₂₀₅−0.8·Δ x ₂₁ for samples belonging to the target class ADC (blue) and to the versus class SQC (red). Overlapping regions are in magenta. The bin width is equal to 1. Each histogram is normalized to the respective set size. The green bold line represents the discrimination threshold χ=3.6, whereas the green dashed lines represent the threshold displaced by its uncertainty, i.e. χ±d χ, with d χ=0.4 (see Table 4). ROC curves (right) of the classifier based on Δ x ₂₀₅ (green line) and of the classifier based on y _opt (red line) [20]. The increase of the AUC (area under the curve) from 0.9815 to 0.9926, respectively, is another marker of the improvement of the classifier