Classification on Protein (test)
99.07AccuracySklearn
Evaluation Results
| Method | Links | |
|---|---|---|
| SklearnModel architecture=Linear model, Loss function=Logistic regression, Solver=L-BFGS2022.05 | 99.07 | |
| Cross-entropyModel architecture=Linear model, Loss function=Cross-entropy2022.05 | 98.89 | |
| HingeModel architecture=Linear model, Loss function=Hinge2022.05 | 97.69 | |
| EXACTModel architecture=Linear model, Loss function=EXACT2022.05 | 97.69 | |
| Re-training from Scratchre-training=true2023.04 | 69.64 | |
| ANT-HardTraining Time=12s, Number of Seeds=102026.05 | 68.81 | |
| ANT-SoftNumber of Seeds=102026.05 | 68.81 | |
| DTSemNetNf=357, Nc=3, Ns=14895, Height=42026.05 | 68.6 | |
| DTSemNetTraining Time=43s, Number of Seeds=102026.05 | 68.6 | |
| TAONf=357, Nc=3, Ns=14895, Height=42026.05 | 68.41 | |
| DGTNf=357, Nc=3, Ns=14895, Height=42026.05 | 67.8 | |
| GARE/MetaFPPre-trained Task=Photo (Product Category Prediction), Pre-trained Accuracy=0.95612023.04 | 60.71 | |
| GARE/MetaFPPre-trained Task=Cora (Publication Classification), Pre-trained Accuracy=0.91212023.04 | 58.93 | |
| CARTNf=357, Nc=3, Ns=14895, Height=no predefined height2026.05 | 57.53 | |
| TnT#S=692021.10 | 57.26 | |
| CART#S=762021.10 | 55.3 | |
| Vanilla ReusingPre-trained Task=Cora (Publication Classification), Pre-trained Accuracy=0.91212023.04 | 40.18 | |
| Vanilla ReusingPre-trained Task=Photo (Product Category Prediction), Pre-trained Accuracy=0.95612023.04 | 33.04 |