Research Article

AWSMOTE: An SVM-Based Adaptive Weighted SMOTE for Class-Imbalance Learning

Table 10

Bonferroni-Dunn test for six comparative methods ().

ā€‰FriedmanNO-RSSMOTEBLSMOTEAdasDBSMOTE

Reject3.45462.52273.93182.27272
ACCReject3.751.95453.77271.84092.0454
AUCReject4.18182.06823.86362.09092.5227
PrecisionReject3.52271.52273.11360.70452.4545
G-meanReject4.252.15913.81822.06822.4318