Classification on Iris (train)
0.0896Training LossFldzhyan Bell
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Fldzhyan BellMesh=4x4, Epochs=4002025.12 | 0.0896 | — | |
| Clements BellMesh=4x4, Epochs=4002025.12 | 0.0902 | — | |
| ClementsMesh=4x4, Epochs=4002025.12 | 0.0964 | — | |
| FldzhyanMesh=4x4, Epochs=4002025.12 | 0.0997 | — | |
| CART-depthAlgorithm=CART-depth, d (tree depth)=32025.09 | 0.9812 | 1.26 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=42025.09 | 0.988 | 1.03 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=52025.09 | 0.9915 | 0.76 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=42025.09 | 0.9915 | 2.94 | |
| CART-sizeAlgorithm=CART-size, K (number of splitting rules)=62025.09 | 0.9932 | 0.64 | |
| ConTreeAlgorithm=ConTree, d (tree depth)=32025.09 | 0.9982 | 0.34 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=52025.09 | 1 | 0 | |
| HODTAlgorithm=HODT, K (number of splitting rules)=62025.09 | 1 | 0 |