Facilitating User Authorization from Imbalanced Data Logs of Credit Cards Using Artificial Intelligence

Table 5

Sensitivity, specificity, precision, and F1 scores obtained on Dataset A executing RUSBoost, customized RUSBoost, DT, LR, MLP, KNN, RF, AdaBoost, and SVM.

Model name	Sensitivity	Specificity	Precision	F1 score
RUSBoost	50.6	99.8	33.4	40.2
Customized RUSBoost	96.3	85.6	94.2	88.6
DT	76.5	97.9	72.6	75.4
LR	57.0	99.0	86.0	68.7
MLP	70.4	99.5	95.8	81.1
KNN	80.6	99.9	95.1	87.2
RF	53.2	99.0	82.3	64.5
AdaBoost	73.4	99.0	83.7	78.2
SVM	61.2	99.9	96.8	75.7