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Table 9 Comparison with existing methods

From: A machine learning based credit card fraud detection using the GA algorithm for feature selection

Model Accuracy
LR [13] 97.70 %
DT [13] 95.50 %
SVM [13] 97.50 %
NB [14] 99.23 %
KNN [16] 97.69 %
LR [16] 54.86 %
DT [4] 97.08 %
LR [17] 97.18 %
IF [16] 58.83 %
GA-ANN [17] 81.82 %
GA-DT [17] 81.97 %
GA-RF [17] 77.95 %
GA-RF (Proposed \(v_5\)) 99.98 %
GA-DT (Proposed \(v_1\)) 99.92 %
GA-LR (Proposed \(v_1\)) 99.91 %
GA-NB (Proposed \(v_5\)) 99.44 %