Regression on California Housing (CH) (test)
0.0224MSEeM-KOFL
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| eM-KOFL2024.04 | 0.0224 | — | 2.28 | — | |
| FOMD-OMSJ=22024.04 | 0.0237 | — | 0.39 | — | |
| POF-MKL2024.04 | 0.0525 | — | 2.68 | — | |
| OriginalDownstream model=RF2024.09 | 0.21 | — | — | — | |
| NODE-GA2M2022.09 | 0.222 | — | — | — | |
| XGB2022.09 | 0.229 | — | — | — | |
| Std-KANRegime=Small Regime (≈ 2000 Params), Architecture=[8, 8, 8, 1], Res.=G = 10, Params=20402025.12 | 0.2294 | — | — | — | |
| GS-KANRegime=Small Regime (≈ 2000 Params), Architecture=[8, 38, 38, 1], Res.=K = 40, Params=19742025.12 | 0.2358 | — | — | — | |
| Wav-KANRegime=Small Regime (≈ 2000 Params), Architecture=[8, 22, 21, 1], Res.=-, Params=19772025.12 | 0.2436 | — | — | — | |
| Wav-KANRegime=Micro Regime (≈ 600 Params), Architecture=[8, 11, 10, 1], Res.=-, Params=6242025.12 | 0.2512 | — | — | — | |
| Std-KANRegime=Micro Regime (≈ 600 Params), Architecture=[8, 5, 1], Res.=G = 8, Params=5852025.12 | 0.2521 | — | — | — | |
| GS-KANRegime=Micro Regime (≈ 600 Params), Architecture=[8, 18, 18, 1], Res.=K = 20, Params=5742025.12 | 0.2587 | — | — | — | |
| SVM2022.09 | 0.262 | — | — | — | |
| GA2M EBM2022.09 | 0.265 | — | — | — | |
| MLPRegime=Small Regime (≈ 2000 Params), Architecture=[8, 40, 40, 1], Res.=-, Params=20412025.12 | 0.2691 | — | — | — | |
| RF2022.09 | 0.271 | — | — | — | |
| SIANK=52022.09 | 0.272 | — | — | — | |
| MLPRegime=Micro Regime (≈ 600 Params), Architecture=[8, 20, 20, 1], Res.=-, Params=6212025.12 | 0.2734 | — | — | — | |
| SIANK=32022.09 | 0.278 | — | — | — | |
| GReaTDownstream model=RF, Number of parameters=355M2024.09 | 0.28 | — | — | — | |
| DNN2022.09 | 0.283 | — | — | — | |
| Wav-KANRegime=Nano Regime (≈ 200 Params), Architecture=[8, 5, 5, 1], Res.=-, Params=2102025.12 | 0.2847 | — | — | — | |
| GS-KANRegime=Nano Regime (≈ 200 Params), Architecture=[8, 8, 8, 1], Res.=K = 20, Params=2042025.12 | 0.2901 | — | — | — | |
| Std-KANRegime=Nano Regime (≈ 200 Params), Architecture=[8, 2, 1], Res.=G = 7, Params=2162025.12 | 0.2934 | — | — | — | |
| MLPRegime=Nano Regime (≈ 200 Params), Architecture=[8, 10, 10, 1], Res.=-, Params=2112025.12 | 0.2939 | — | — | — | |
| SIANK=22022.09 | 0.302 | — | — | — | |
| OriginalDownstream model=DT2024.09 | 0.32 | — | — | — | |
| Distill-GReaTDownstream model=RF, Number of parameters=82M2024.09 | 0.32 | — | — | — | |
| GReaTDownstream model=LR, Number of parameters=355M2024.09 | 0.34 | — | — | — | |
| TVAEDownstream model=RF, Number of parameters=45K2024.09 | 0.35 | — | — | — | |
| SIANK=12022.09 | 0.378 | — | — | — | |
| GReaTDownstream model=DT, Number of parameters=355M2024.09 | 0.39 | — | — | — | |
| Binary DiffusionDownstream model=RF, Number of parameters=1.5M2024.09 | 0.39 | — | — | — | |
| OriginalDownstream model=LR2024.09 | 0.4 | — | — | — | |
| Distill-GReaTDownstream model=DT, Number of parameters=82M2024.09 | 0.43 | — | — | — | |
| TVAEDownstream model=DT, Number of parameters=45K2024.09 | 0.45 | — | — | — | |
| Binary DiffusionDownstream model=DT, Number of parameters=1.5M2024.09 | 0.45 | — | — | — | |
| Overfit MLP on testmode=overfitting2022.10 | 0.475 | — | — | — | |
| LASSO2022.09 | 0.478 | — | — | — | |
| OCD + MLPours=true2022.10 | 0.48 | — | — | — | |
| ResNet2022.10 | 0.486 | — | — | — | |
| MLP2022.10 | 0.499 | — | — | — | |
| OCD + MLPscaling=none2022.10 | 0.5 | — | — | — | |
| Binary DiffusionDownstream model=LR, Number of parameters=1.5M2024.09 | 0.55 | — | — | — | |
| Distill-GReaTDownstream model=LR, Number of parameters=82M2024.09 | 0.57 | — | — | — | |
| CTGANDownstream model=LR, Number of parameters=197K2024.09 | 0.61 | — | — | — | |
| CTGANDownstream model=RF, Number of parameters=197K2024.09 | 0.62 | — | — | — | |
| TVAEDownstream model=LR, Number of parameters=45K2024.09 | 0.65 | — | — | — | |
| CTGANDownstream model=DT, Number of parameters=197K2024.09 | 0.82 | — | — | — | |
| CopulaGANDownstream model=LR, Number of parameters=193K2024.09 | 0.98 | — | — | — | |
| CopulaGANDownstream model=RF, Number of parameters=193K2024.09 | 0.99 | — | — | — | |
| CopulaGANDownstream model=DT, Number of parameters=193K2024.09 | 1.19 | — | — | — | |
| DNNModel Architecture=Neural, Interpretability Category=Uninterpretable Black-Box Baseline2022.05 | — | 0.5014 | — | — | |
| EB2Minteraction_order=pairwise2022.05 | — | 0.4919 | — | — | |
| EBMinteraction_order=first-order2022.05 | — | 0.5586 | — | — | |
| EBMs (Order 1)Interaction Order=1, Model Architecture=Trees, Interpretability Category=Interpretable Baseline2022.05 | — | 0.5586 | — | — | |
| EBMs (Order 2)Interaction Order=2, Model Architecture=Trees, Interpretability Category=Interpretable Baseline2022.05 | — | 0.4919 | — | — | |
| Linear2022.05 | — | 0.7354 | — | — | |
| Linear (Order 1)Interaction Order=1, Model Architecture=Linear, Interpretability Category=Interpretable Baseline2022.05 | — | 0.7354 | — | — | |
| Linear (Order 2)Interaction Order=2, Model Architecture=Linear, Interpretability Category=Interpretable Baseline2022.05 | — | 0.7293 | — | — | |
| MLP2022.05 | — | 0.5014 | — | — | |
| NA2Minteraction_order=pairwise2022.05 | — | 0.4921 | — | — | |
| NAMInteraction Order=1, Model Architecture=Neural, Interpretability Category=Interpretable Baseline2022.05 | — | 0.5721 | — | — | |
| NAMinteraction_order=first-order2022.05 | — | 0.5721 | — | — | |
| NB2Minteraction_order=pairwise2022.05 | — | 0.4779 | — | — | |
| NBMinteraction_order=first-order2022.05 | — | 0.5638 | — | — | |
| SPAM (Linear, Order 2)Interaction Order=2, Model Architecture=Linear, Interpretability Category=Our Interpretable Model2022.05 | — | 0.6474 | — | — | |
| SPAM (Linear, Order 3)Interaction Order=3, Model Architecture=Linear, Interpretability Category=Our Interpretable Model2022.05 | — | 0.641 | — | — | |
| SPAM (Neural, Order 2)Interaction Order=2, Model Architecture=Neural, Interpretability Category=Our Interpretable Model2022.05 | — | 0.4914 | — | — | |
| SPAM (Neural, Order 3)Interaction Order=3, Model Architecture=Neural, Interpretability Category=Our Interpretable Model2022.05 | — | 0.4865 | — | — | |
| XGBoostModel Architecture=Trees, Interpretability Category=Uninterpretable Black-Box Baseline2022.05 | — | 0.4428 | — | — | |
| XGBoost2022.05 | — | 0.4428 | — | — |