Table 5 shows the performance of the classifier when using various feature subsets. When using the GA+STAT features, the AUC is higher, and FPR is lower (this is an important distinction) than when using all features or the other alternative feature subsets. The most important aspect is that better performance was achieved using a much smaller set of biomarkers (features), which indicates that we have identified a fingerprint for detecting the presence of prostate cancer in asymptomatic men with PSA levels < 20 ng ml-1 which is indeed significant from a clinical perspective. This evidence concerns the gene KLK3 and Familial prostate cancer.