Table 4.

Average F1 scores on different N values. The values in brackets represent the standard deviation (Std) in 5-fold cross validation. The proposed SASMOTE algorithms perform better on the average F1 score with respect to the value of N = 1, 2, 3, 5 while B-SMOTE performs better with respect to the value of N = 4

Model	$\mathit{N}\mathbf{=}\mathbf{1}$ (Std)	$\mathit{N}\mathbf{=}\mathbf{2}$ (Std)	$\mathit{N}\mathbf{=}\mathbf{3}$ (Std)	$\mathit{N}\mathbf{=}\mathbf{4}$ (Std)	$\mathit{N}\mathbf{=}\mathbf{5}$ (Std)
SASMOTE	47.04 (7.22)	51.32 (7.70)	51.88 (6.60)	51.13 (8.51)	51.16 (6.32)
SASMOTE w/o visible	48.97 (7.90)	49.60 (10.14)	48.04 (8.48)	50.15 (8.55)	49.72 (9.67)
SASMOTE w/o inspection	48.85 (4.60)	48.30 (6.90)	53.34 (6.92)	46.56 (8.90)	50.26 (11.94)
B-SMOTE	44.76 (7.85)	49.37 (10.60)	49.31 (7.76)	51.17 (10.53)	47.80 (8.12)
SMOTE	45.59 (8.90)	46.31 (9.71)	47.72 (11.81)	50.03 (7.92)	46.07 (11.19)