Table 6. Conventional machine learning approaches for WBC classification (n = 6).

Author	Year	Method	Accuracy (%)	Sensitivity (%)	Specificity (%)
Gautam et al. [20]	2016	Naïve Bayesian classifier	80.88	-	-
Tantikitti et al. [65]	2015	Decision Tree	92.2	-
Rawat et al. [66]	2017	PCA-SVM	94.6	97	88
Shaikhina et al. [67]	2019	Decision Tree and RF	85	81.8	88.9
Abdeldaim et al. [68]	2018	K-NN	98.6	-	-
Mathur et al. [69]	2013	Naïve Bayesian Classifier	92.72	90	-