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Table 8 Classification results a random approach

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

Model Accuracy Recall Precision F1-Score
RF 83.78 % 79.64 % 92.78 % 85.71%
DT 89.91 % 79.64 % 68.70 % 73.77%
ANN 88.93 % 78.76 % 82.40 % 80.54%
NB 78.14 % 83.18 % 6.73 % 12.46%
LR 79.91 % 59.29% 81.70 % 68.71 %