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Flood risk classification on BCUR dataset (test)
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94.7
Accuracy
Skjold-DiT
75.564
80.532
85.5
90.468
Feb 5, 2026
Accuracy
F1 Score
False Neg. Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
F1 Score
False Neg. Rate
Skjold-DiT
Backbone=24-layer tran...
2026.02
94.7
93
6.7
UrbanDiT
Type=Diffusion-transfo...
2026.02
91.8
90
10.4
GraphSAGE
Type=Graph Neural Network
2026.02
89.4
87
12.8
CNN-ResNet50
Backbone=ResNet-50, Ty...
2026.02
88.2
86
14.3
Random Forest
Type=Classical ML base...
2026.02
84.7
82
18.9
HAND-DEM
Type=Physics-inspired...
2026.02
76.3
71
31.2
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