Multi-Class Classification on Cover Type (CovType) (test)
96.94AccuracyDNN
Evaluation Results
| Method | Links | |
|---|---|---|
| DNNModel Architecture=Neural2022.05 | 96.94 | |
| MLP2022.05 | 96.94 | |
| NB2Minteraction_order=pairwise2022.05 | 89.08 | |
| NA2Minteraction_order=pairwise2022.05 | 88.72 | |
| XGBoostModel Architecture=Trees2022.05 | 88.6 | |
| XGBoost2022.05 | 88.6 | |
| SPAM (Neural, Order 3)Interaction Order=3, Model Architecture=Neural2022.05 | 88.57 | |
| SPAM (Linear, Order 3)Interaction Order=3, Model Architecture=Linear2022.05 | 80.66 | |
| SPAM (Neural, Order 2)Interaction Order=2, Model Architecture=Neural2022.05 | 77.7 | |
| SPAM (Linear, Order 2)Interaction Order=2, Model Architecture=Linear2022.05 | 77.32 | |
| Linear (Order 2)Interaction Order=2, Model Architecture=Linear2022.05 | 76.01 | |
| EBMs (Order 1)Interaction Order=1, Model Architecture=Trees2022.05 | 73.92 | |
| EBMinteraction_order=first-order2022.05 | 73.92 | |
| NBMinteraction_order=first-order2022.05 | 73.69 | |
| NAMInteraction Order=1, Model Architecture=Neural2022.05 | 73.59 | |
| NAMinteraction_order=first-order2022.05 | 73.59 | |
| Linear (Order 1)Interaction Order=1, Model Architecture=Linear2022.05 | 72.54 | |
| Linear2022.05 | 72.54 |