Ricerca di soglie critiche per un test su matrici di confusione

This paper will discuss misclassification errors induced by human judgment. Facing different classifications coming from different trials, often researchers have to evaluate the goodness of classification proposed. Particularly, we propose an interesting application concerning olfactory measurement. In that field the accuracy of a confusion matrix is crucial, because the classification suggested by a panel of experts is collected by means of a confusion matrix.
The analysis of a confusion matrix we will perform in this study serves both to evaluate skills of judges, of whom the panel is composed, and to evaluate the discriminant capability of the element used to make the experiment. This work will focus in establishing critical thresholds for the test through which we assess not random classification.