• Sensitivity = ; known as the true positive rate; the higher the score, the higher the 𝑇𝑃 𝑇𝑃 + 𝐹𝑁 proportion of TP in the set of positive predictions • Specificity = ; known as the true negative rate; the higher score, the higher the 𝑇𝑁 𝑇𝑁 + 𝐹𝑃 proportion of TN in the set of negative predictions. ranked between -1 and 1, where 1 represents a perfect classification while 0 represents a complete random sample.