|  | Predicted |
---|
 |  | Benign | Cancer |
---|
Actual | Benign | 7 | 1 |
 | Cancer | 2 | 6 |
- 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).