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%

		Predicted class
		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

The key metrics, overall classification accuracy, the weighted F1-score, and the classification accuracy for each class were shown in bold

The weighted F1-score is 0.927