HyperAIHyperAI초신경
홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
HyperAIHyperAI초신경

Fraud Detection On Baf Base

평가 지표

Recall @ 1% FPR

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Recall @ 1% FPR
Paper TitleRepository
FIGS21%RIFF: Inducing Rules for Fraud Detection from Decision Trees-
CART16%RIFF: Inducing Rules for Fraud Detection from Decision Trees-
LightGBM-Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection-
FIGU+RIFF15.5%RIFF: Inducing Rules for Fraud Detection from Decision Trees-
1D-CSNN-Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection-
CART+RIFF18.4%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+RIFF15.8%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-
LightGBM25.2%RIFF: Inducing Rules for Fraud Detection from Decision Trees-
0 of 12 row(s) selected.