HyperAIHyperAI超神经
首页资讯最新论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

Fraud Detection On Baf Base

评估指标

Recall @ 1% FPR

评测结果

各个模型在此基准测试上的表现结果

模型名称
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.