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SOTA Fraud Detection benchmarks and papers with code | Wizwand
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Fraud Detection
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
BankSim
FN
Cross Entropy Loss
0.02
40
2mo ago
Amazon (test)
Grad
AUC
97.89
38
4mo ago
Credit Card Fraud dataset
Imbalanced
Accuracy
0.9996
37
2mo ago
YelpChi (test)
Grad
AUC
99.08
35
4mo ago
PAYSIM
QT-GNN
F1 Score
99
29
4mo ago
T-finance (1% label ratio)
MHSA-GNN
F1-macro
90.23
26
26d ago
Credit Card Fraud Detection (test)
Random Forest
Recall
91.83
26
23d ago
Ethereum
UniDetect
Precision
91.39
21
3mo ago
IEEE-CIS
TabM
F1
82
21
1mo ago
Generator 4000 frauds horizon Neural Network
FRAUD-RLA
Average Cumulative Reward
0.97
18
4mo ago
Generator 1000 frauds horizon Neural Network
FRAUD-RLA
Average Cumulative Reward
0.93
18
4mo ago
Generator Neural Network 300 frauds horizon
Best Baseline
Average Cumulative Reward
90
18
4mo ago
Amazon Clothing
BRIDGE-GCN
Max F1
38.4
17
3mo ago
Amazon Electronics
BRIDGE-TFConv
Max F1 Score
50
17
3mo ago
Amazon Movies
BRIDGE-TOKENXATTN
F1 Score
80.5
17
3mo ago
CM proprietary (1% train ratio)
ADC-GNN
AUC
0.9397
16
26d ago
YelpChi (1% train ratio)
ADC-GNN
AUC
0.8316
16
26d ago
Amazon (1% train ratio)
ADC-GNN
AUC
0.9501
16
26d ago
Dataset 1
Best Baseline
Performance
100
16
4mo ago
Amazon (40% train ratio)
RioGNN
AUC
0.9619
16
4mo ago
Amazon 20% ratio (train)
RioGNN
AUC
95.63
16
4mo ago
Amazon 10% ratio (train)
RioGNN
AUC
95.41
16
4mo ago
Amazon 5% ratio (train)
RioGNN
AUC
95.44
16
4mo ago
Yelp (40% train ratio)
RioGNN
AUC
83.54
16
4mo ago
Yelp 20% (train)
RioGNN
AUC
0.8231
16
4mo ago
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