Figure 2

ROC curve demonstrating the sensitivity, specificity and false positive rate for a classifier based on mass spectrometric discrimination of Burns and Smith. To generate the model, a hard margin Support Vector Machine classifier was used with an rbf kernel function. Signals from both ink and paper were combined in this instance.