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Revenue Uplift Modeling on Synthetic Dataset

0.3155AUUCVALOR
0.1342280.1812890.228350.275411Apr 2, 2026

Evaluation results

MethodLinks
VALORBackbone=CFR-WASS, Inf(ms)=0.01962026.040.31550.304917.550.0934
VALORBackbone=CFR-MMD, Inf(ms)=0.01992026.040.31050.30517.560.0917
VALORBackbone=UniTE, Inf(ms)=0.01982026.040.29560.2904170.0888
VALORBackbone=DragonNet, Inf(ms)=0.01972026.040.28730.282116.830.0924
VALORBackbone=EUEN, Inf(ms)=0.01872026.040.28410.27816.740.0783
VALORBackbone=TARNet, Inf(ms)=0.02012026.040.27720.271416.390.0751
RERUM-DragonNetInf(ms)=0.01952026.040.26360.259616.310.0712
DragonNetInf(ms)=0.01872026.040.25710.248915.770.0897
TARNetInf(ms)=0.01892026.040.25660.25315.720.0762
CFR-WASSInf(ms)=0.01902026.040.25570.250315.720.0765
CFR-MMDInf(ms)=0.01982026.040.25170.246215.730.0755
EUENInf(ms)=0.02012026.040.25160.25115.680.0732
UniTEInf(ms)=0.01972026.040.25080.245915.540.0744
ZILN-TreeInf(ms)=0.00422026.040.23850.234215.680.0655
T-LearnerInf(ms)=0.02142026.040.16980.164313.930.0453
Causal ForestInf(ms)=0.00172026.040.14130.138111.670.0279
RERUM-CFRInf(ms)=0.02052026.040.14120.135412.290.016