Table 5 The accuracy, recall and precision metrics
From: Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Algorithms | Accuracy | Precision | Recall |
|---|---|---|---|
GRU (2020) [58] | – | 0.8626 | 0.7208 |
LSTM (2020) [58] | – | 0.8575 | 0.7408 |
SVM (2021) [59] | 0.9349 | 0.9743 | 0.8976 |
KNN (2021) [59] | 0.9982 | 0.7142 | 0.0393 |
ANN (2021) [59] | 0.9992 | 0.8115 | 0.7619 |
Our proposed model (LSTM-attention) over Dataset-1 | 0.9672 | 0.9885 | 0.9191 |
Our proposed model (LSTM-attention) over Dataset-2 | 0.9748 | 0.9769 | 0.9722 |