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Feature Attribution on Synthetic half-moons dataset with Gaussian noises (std dev 0.05-0.65)
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0.531
AUC-Purity
Geodesic IG (kNN)
0.28972
0.35236
0.415
0.47764
Feb 17, 2025
AUC-Purity
Updated 4d ago
Evaluation Results
Method
Method
Links
AUC-Purity
Geodesic IG (kNN)
baseline=(-0.5, -0.5),...
2025.02
0.531
Occlusion
baseline=(-0.5, -0.5)
2025.02
0.52
Geodesic IG (SVI)
baseline=(-0.5, -0.5),...
2025.02
0.504
IG
baseline=(-0.5, -0.5)
2025.02
0.487
GradientShap
baseline=(-0.5, -0.5)
2025.02
0.483
Kernel Shap
baseline=(-0.5, -0.5)
2025.02
0.48
Enhanced IG
baseline=(-0.5, -0.5),...
2025.02
0.47
Guided IG
baseline=(-0.5, -0.5)
2025.02
0.361
Input X Gradients
baseline=(-0.5, -0.5)
2025.02
0.328
Random
baseline=(-0.5, -0.5)
2025.02
0.299
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