Table 2 Details of classification results obtained with Fisher's Linear Discriminator and 20 peaks on the full four-class problem. The overall average classification accuracy (100 runs) is 81%.
From: Computational protein biomarker prediction: a case study for prostate cancer
| Â | Â | Computational Prediction | |||
|---|---|---|---|---|---|
| Â | Â | BPH | Late Cancer | Early Cancer | Control |
| Â | BPH | 745 (93.1%) | 55 (6.9%) | 0 (0%) | 0 (0%) |
Clinical | Late Cancer | 156 (19.5%) | 531 (66.3%) | 91 (16.0%) | 22 (1.6%) |
Diagnosis | Early Cancer | 99 (12.3%) | 54 (6.8%) | 616 (82.0%) | 31 (1.8%) |
| Â | Control | 92 (11.5%) | 11 (1.4%) | 5 (0.6%) | 692 (86.5%) |