Skip to main content

Table 7 Classification results for full feature vector

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

Model Accuracy Recall Precision F1-Score
RF 87.95 % 77.87 % 92.63 % 84.61%
DT 96.91 % 76.10 % 71.07 % 73.50%
ANN 97.80 % 74.33 % 42.85 % 54.36%
NB 80.31 % 64.60 % 13.95 % 22.95%
LR 93.88 % 60.17 % 62.96 % 61.53 %