Table 5 Classification confusion matrix for results with LOSO CV on the BALANCED data set using top 15 DTCWT features and three clinical features. The overall per-subject classification accuracy achieved is 75%
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 | 93.33 | 0 | 0 | 1.67 | 0 | 5 |
CLD | 0 | 100 | 0 | 0 | 0 | 0 | |
CON | 0 | 0 | 78.33 | 0 | 21.67 | 0 | |
PTX | 11.67 | 0 | 2.5 | 40.83 | 5.83 | 39.17 | |
RDS | 0 | 0 | 28.33 | 0 | 52.5 | 19.17 | |
TTN | 9.17 | 0 | 0 | 5.83 | 0 | 85 | |