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홈
SOTA
Fraud Detection
Fraud Detection On Baf Base
Fraud Detection On Baf Base
평가 지표
Recall @ 1% FPR
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Recall @ 1% FPR
Paper Title
Repository
FIGS
21%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
CART
16%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
LightGBM
-
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection
FIGU+RIFF
15.5%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
1D-CSNN
-
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection
CART+RIFF
18.4%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
MLP–NN
-
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
-
FIGS+RIFF
15.8%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
CatBoost
-
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
-
1D-CSNN
-
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization
LightGBM
-
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
-
LightGBM
25.2%
RIFF: Inducing Rules for Fraud Detection from Decision Trees
-
0 of 12 row(s) selected.
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