Confusion matrix of the random forest classification
| n=555 | RBC clot | Fibrin clot | Mixed clot | Blood | Vessel wall | |
| Predicted | RBC clot | 31 | 3 | 0 | 3 | 0 |
| Fibrin clot | 4 | 50 | 0 | 0 | 7 | |
| Mixed clot | 0 | 0 | 33 | 0 | 0 | |
| Blood | 0 | 0 | 0 | 263 | 0 | |
| Vessel wall | 7 | 9 | 0 | 0 | 145 |
The result from the random forest classification presented as a confusion matrix. The rows represent how the random forest model classified each DRS reading according to clot or tissue type. The columns represent the actual type of the clot and tissue that was examined. Correctly classified DRS readings are presented in cells with white background. Falsely positive and negative readings can be identified for each clot and tissue type from the rows and columns respectively, and are presented in cells with gray background.
RBC, red blood cells.