Table 5. Support Vector Machine accuracy, specificity and sensitivity for WBC classification (n = 4).

Author	Year	Method	Accuracy (%)	Sensitivity (%)	Specificity (%)
Duan et al. [8]	2019	Support Vector Machine	98.3	-	-
Sajjad et al. [6]	2016	Support Vector Machine	98.6	96.2	98.5
Amin et al. [63]	2015	K-means and SVM	97	84.3	97.3
Again et al. [64]	2018	Support Vector Machine	94	95.77	97.87