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ResearchFormerly WizWand

Classification on Iris (train)

0.0896Training LossFldzhyan Bell
0.0531840.2989920.54480.790608Sep 15, 2025Oct 1, 2025Oct 18, 2025Nov 4, 2025Nov 20, 2025Dec 7, 2025Dec 24, 2025
Updated 6mo ago

Evaluation results

MethodLinks
Fldzhyan BellMesh=4x4, Epochs=4002025.120.0896—
Clements BellMesh=4x4, Epochs=4002025.120.0902—
ClementsMesh=4x4, Epochs=4002025.120.0964—
FldzhyanMesh=4x4, Epochs=4002025.120.0997—
CART-depthAlgorithm=CART-depth, d (tree depth)=32025.090.98121.26
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=42025.090.9881.03
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=52025.090.99150.76
HODTAlgorithm=HODT, K (number of splitting rules)=42025.090.99152.94
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=62025.090.99320.64
ConTreeAlgorithm=ConTree, d (tree depth)=32025.090.99820.34
HODTAlgorithm=HODT, K (number of splitting rules)=52025.0910
HODTAlgorithm=HODT, K (number of splitting rules)=62025.0910