Skip to main content

Table 5 Classification of prostate biopsy samples based on metabolites extracted from intact biopsies

From: Cancer detection and biopsy classification using concurrent histopathological and metabolomic analysis of core biopsies

   Predicted
   Benign Cancer
Actual Benign 7 1
  Cancer 2 6
  1. The random forest confusion matrix demonstrates that prostate biopsy cancer tumor samples can be distinguished from benign samples. The prediction accuracy was 81% and provides an estimate of how accurately new observations can be predicted using the random forest model (for example, whether a sample contains cancer tumor or is benign).