Automated Detection Model in Classification of B-Lymphoblast Cells from Normal B-Lymphoid Precursors in Blood Smear Microscopic Images Based on the Majority Voting Technique

Table 2

Evaluation of the proposed model for the test set.

Metrics	Value (%)
Sensitivity = positive predictive value = true positive/positive calls	99.4
Specificity = negative predictive value = true negative/negative calls	96.7
F1 score = (true positive/true positive) + 0.5(false positive + false 99.8% negative)	98.4