[Retracted] Deep Learning Model for the Automatic Classification of White Blood Cells

Table 10

Confusion matrix parameters of DenseNet121 with all batch sizes.

Batch size	Disease category	Precision (%)	Sensitivity (%)	Specificity (%)	Kohen kappa	Overall Accuracy (%)
8	E.P	96.56	98.76	98.87	0.9845	95.56
	L.C	100	100	100
	M.C	100	100	100
	N.P	98.79	96.66	99.59
16	E.P	96.78	98.51	98.89	0.9838	95.8
	L.C	99.79	100	99.93
	M.C	100	100	100
	N.P	98.65	96.65	99.56
32	E.P	95.13	97.65	98.36	0.9752	95.01
	L.C	99.99	100	99.96
	M.C	99.89	100	99.96
	N.P	97.63	94.89	99.22
64	E.P	94.21	95.81	98.01	0.9651	95.38
	L.C	99.79	99.89	99.93
	M.C	100	99.69	100
	N.P	95.62	94.8	98.55