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Counterfactual Outcome Prediction on MIMIC-III semi-synthetic (N=1000) (test)

0.3RMSEIGC-Net
0.26240.51620.771.0238May 31, 2024
Updated 8mo ago

Evaluation results

MethodLinks
IGC-NetPrediction window (τ)=2, Training samples (N)=10002024.050.3
CTPrediction window (τ)=2, Training samples (N)=10002024.050.33
IGC-NetPrediction window (τ)=3, Training samples (N)=10002024.050.36
CRNPrediction window (τ)=2, Training samples (N)=10002024.050.42
CTPrediction window (τ)=3, Training samples (N)=10002024.050.44
IGC-NetPrediction window (τ)=4, Training samples (N)=10002024.050.44
IGC-NetPrediction window (τ)=5, Training samples (N)=10002024.050.47
CTPrediction window (τ)=4, Training samples (N)=10002024.050.53
IGC-NetPrediction window (τ)=6, Training samples (N)=10002024.050.54
G-transformerPrediction window (τ)=2, Training samples (N)=10002024.050.55
G-NetPrediction window (τ)=2, Training samples (N)=10002024.050.56
CTPrediction window (τ)=5, Training samples (N)=10002024.050.57
RMSNsPrediction window (τ)=2, Training samples (N)=10002024.050.57
CRNPrediction window (τ)=3, Training samples (N)=10002024.050.58
CTPrediction window (τ)=6, Training samples (N)=10002024.050.6
G-transformerPrediction window (τ)=3, Training samples (N)=10002024.050.7
RMSNsPrediction window (τ)=3, Training samples (N)=10002024.050.73
G-NetPrediction window (τ)=3, Training samples (N)=10002024.050.73
CRNPrediction window (τ)=4, Training samples (N)=10002024.050.74
TE-CDEPrediction window (τ)=2, Training samples (N)=10002024.050.76
G-transformerPrediction window (τ)=4, Training samples (N)=10002024.050.81
CRNPrediction window (τ)=5, Training samples (N)=10002024.050.84
G-NetPrediction window (τ)=4, Training samples (N)=10002024.050.86
RMSNsPrediction window (τ)=4, Training samples (N)=10002024.050.87
G-transformerPrediction window (τ)=5, Training samples (N)=10002024.050.89
TE-CDEPrediction window (τ)=3, Training samples (N)=10002024.050.91
RMSNsPrediction window (τ)=5, Training samples (N)=10002024.050.94
CRNPrediction window (τ)=6, Training samples (N)=10002024.050.95
G-NetPrediction window (τ)=5, Training samples (N)=10002024.050.95
G-transformerPrediction window (τ)=6, Training samples (N)=10002024.050.97
RMSNsPrediction window (τ)=6, Training samples (N)=10002024.051.02
G-NetPrediction window (τ)=6, Training samples (N)=10002024.051.03
TE-CDEPrediction window (τ)=4, Training samples (N)=10002024.051.07
TE-CDEPrediction window (τ)=5, Training samples (N)=10002024.051.15
TE-CDEPrediction window (τ)=6, Training samples (N)=10002024.051.24