Table 3.
Confusion matrices of three-class classification results from the decision tree using two autofluorescence features. Numeric values indicate the number of classified measurement sites. Results from both the training set and validation set are shown without cross-validation. The decision tree was trained on the training set and then applied to the validation set.
| Decision Tree Results | Training SetTruth |
Validation SetTruth |
|||||
|---|---|---|---|---|---|---|---|
| Normal | Dysplasia | Cancer | Normal | Dysplasia | Cancer | ||
| Normal | 50 | 1 | 0 | 32 | 0 | 0 | |
| Predicted | Dysplasia | 3 | 23 | 4 | 8 | 22 | 9 |
| Cancer | 0 | 5 | 16 | 0 | 0 | 2 | |