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ResearchFormerly WizWand

Classification on Ai4iMF (train)

0.9664Mean 0-1 LossSVM
-2.91174423.26572849.443275.620672May 9, 2025May 30, 2025Jun 21, 2025Jul 12, 2025Aug 3, 2025Aug 24, 2025Sep 15, 2025
Updated 5mo ago

Evaluation results

MethodLinks
SVM2025.050.96640.11
MLPK (Rank)=12025.050.97010.11
MLPK (Rank)=22025.050.9720.18
Deep-ICEK (Rank)=1, Direct training (marked by *)=false2025.050.97450.1
MLPK (Rank)=32025.050.97560.13
Deep-ICEK (Rank)=3, Direct training (marked by *)=false2025.050.97710.1
Deep-ICEK (Rank)=2, Direct training (marked by *)=false2025.050.9790.01
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=42025.0997.220.28
CART-depthAlgorithm=CART-depth, d (tree depth)=32025.0997.410.05
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=52025.0997.490.26
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=62025.0997.560.19
HODTAlgorithm=HODT, K (number of splitting rules)=62025.0997.820.17
ConTreeAlgorithm=ConTree, d (tree depth)=32025.0997.840.06
HODTAlgorithm=HODT, K (number of splitting rules)=52025.0997.880.12
HODTAlgorithm=HODT, K (number of splitting rules)=42025.0997.920.11