Table 3 Classification confusion matrix for results with LOO CV on the BALANCED data set using top 15 DTCWT features and three clinical features. The overall per-image classification accuracy achieved is 92.78%
From: Classification of lung pathologies in neonates using dual-tree complex wavelet transform
| Â | Â | Predicted class | |||||
|---|---|---|---|---|---|---|---|
| Â | Â | Normal (%) | CLD (%) | CON (%) | PTX (%) | RDS (%) | TTN (%) |
True Class | Normal | 98.33 | 0 | 0 | 0.83 | 0 | 0.83 |
CLD | 0 | 100 | 0 | 0 | 0 | 0 | |
CON | 0 | 0 | 95.83 | 0 | 4.17 | 0 | |
PTX | 9.17 | 0 | 0.83 | 76.67 | 0 | 13.33 | |
RDS | 0 | 0 | 4.17 | 0 | 92.5 | 3.33 | |
TTN | 3.33 | 0 | 0 | 3.33 | 0 | 93.33 | |