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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

   Computational Prediction
   BPH Late Cancer Early Cancer Control
  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%)
  Control 92 (11.5%) 11 (1.4%) 5 (0.6%) 692 (86.5%)