Classification on Ai4iMF (train)
0.9664Mean 0-1 LossSVM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SVM2025.05 | 0.9664 | 0.11 | |
| MLPK (Rank)=12025.05 | 0.9701 | 0.11 | |
| MLPK (Rank)=22025.05 | 0.972 | 0.18 | |
| Deep-ICEK (Rank)=1, Direct training (marked by *)=false2025.05 | 0.9745 | 0.1 | |
| MLPK (Rank)=32025.05 | 0.9756 | 0.13 | |
| Deep-ICEK (Rank)=3, Direct training (marked by *)=false2025.05 | 0.9771 | 0.1 | |
| Deep-ICEK (Rank)=2, Direct training (marked by *)=false2025.05 | 0.979 | 0.01 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=42025.09 | 97.22 | 0.28 | |
| CART-depthAlgorithm=CART-depth, d (tree depth)=32025.09 | 97.41 | 0.05 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=52025.09 | 97.49 | 0.26 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=62025.09 | 97.56 | 0.19 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=62025.09 | 97.82 | 0.17 | |
| ConTreeAlgorithm=ConTree, d (tree depth)=32025.09 | 97.84 | 0.06 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=52025.09 | 97.88 | 0.12 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=42025.09 | 97.92 | 0.11 |