Classification on Epsilon (test)
89.9AccuracyLR
Evaluation results
| Method | Links | |
|---|---|---|
| LR2026.06 | 89.9 | |
| MLP2026.06 | 89.7 | |
| NAM2026.06 | 89.5 | |
| NBM-FSK1=5002026.06 | 89.48 | |
| NB2M-FSK1=500, K2=5002026.06 | 89.46 | |
| NODE-GAM2026.06 | 89.45 | |
| NBM2026.06 | 89.43 | |
| NODE-GA2M2026.06 | 89.41 | |
| NA2M-FSK1=500, K2=5002026.06 | 89.31 | |
| NAM-FSK1=5002026.06 | 89.27 | |
| XGBoost2026.06 | 88.36 | |
| NB2M-FSK1=50, K2=502026.06 | 88.26 | |
| EB2M2026.06 | 87.94 | |
| EBM2026.06 | 87.88 | |
| NA2M-FSK1=50, K2=502026.06 | 87.72 | |
| NBM-FSK1=502026.06 | 84.99 | |
| NAM-FSK1=502026.06 | 84.43 | |
| Decision Tree2026.06 | 68.26 | |
| PiNDAEvaluation Protocol=Softmax Regression (SR), mu=02024.08 | 61.53 | |
| Random NoiseEvaluation Protocol=Softmax Regression (SR)2024.08 | 60.21 | |
| PiNDAEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.08 | 60.21 | |
| PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.08 | 59.66 | |
| SimCLEvaluation Protocol=Softmax Regression (SR)2024.08 | 59.49 | |
| PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=02024.08 | 59.38 | |
| CLAEEvaluation Protocol=Softmax Regression (SR)2024.08 | 59.17 | |
| PiNDAEvaluation Protocol=kNN, mu=02024.08 | 53.2 | |
| PiNDAEvaluation Protocol=kNN, mu=learnable2024.08 | 52.64 | |
| PiNDA + CLAEEvaluation Protocol=kNN, mu=02024.08 | 52.31 | |
| Random NoiseEvaluation Protocol=kNN2024.08 | 52 | |
| CLAEEvaluation Protocol=kNN2024.08 | 51.91 | |
| PiNDA + CLAEEvaluation Protocol=kNN, mu=learnable2024.08 | 51.7 | |
| SimCLEvaluation Protocol=kNN2024.08 | 50.9 |