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Multiomics Classification on COAD
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89.2
Average Accuracy
RealMLP
66.008
72.029
78.05
84.071
Oct 7, 2025
Average Accuracy
Updated 19d ago
Evaluation Results
Method
Method
Links
Average Accuracy
RealMLP
2025.10
89.2
TabPFN-Wide
Number of features=5k,...
2025.10
87.3
TabPFN-Wide
Number of features=8k,...
2025.10
87.3
TabPFN-Wide
Number of features=8k
2025.10
86.9
TabPFN-Wide
Number of features=1.5...
2025.10
86.2
XGBoost
2025.10
86.2
TabPFN-Wide
Number of features=5k
2025.10
85.8
TabPFN-Wide
Number of features=1.5k
2025.10
83.5
Random Forest
2025.10
83.1
TabICL
2025.10
78.1
TabPFN v2
2025.10
66.9
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