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Table 4 Classification of kidney 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 6 0
  Cancer 2 4
  1. The random forest confusion matrix demonstrates that benign samples can be distinguished from cancer tumor samples by using kidney biopsy samples. The prediction accuracy was 83% 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).