Table 4 Classification confusion matrix for results with LOO CV on the IMBALANCED data set using top 15 DTCWT features and three clinical features. The overall per-image classification accuracy achieved is 74.39%
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 | 17.84 | 0 | 0 | 7.03 | 0 | 75.14 |
CLD | 0 | 100 | 0 | 0 | 0 | 0 | |
CON | 0 | 0 | 99.02 | 0 | 0.98 | 0 | |
PTX | 8.57 | 0 | 12.38 | 17.14 | 25.71 | 36.19 | |
RDS | 2.86 | 0 | 8.98 | 5.31 | 57.55 | 25.31 | |
TTN | 4.53 | 0 | 0 | 2.26 | 2.83 | 90.38 | |