Classification on monk2
97.6AccuracySVM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SVMSparsity selection protocol=sparsest of 3 most accurate2025.12 | 97.6 | 28.6 | |
| SVMSparsity selection protocol=Standard2025.12 | 97.4 | 22.2 | |
| S-KLRSparsity selection protocol=sparsest of 3 most accurate2025.12 | 95.8 | 29.2 | |
| S-KLRSparsity selection protocol=Standard2025.12 | 95.8 | 29.7 | |
| l1/2-KLRSparsity selection protocol=sparsest of 3 most accurate2025.12 | 93.7 | 41.3 | |
| Multilinear-CovJac2026.05 | 87.15 | — | |
| M-CovJac#p/n=4, L=6, k=136, iterations=10k, τ=1.02026.05 | 86.06 | — | |
| IVMSparsity selection protocol=Standard2025.12 | 83.3 | 2.7 | |
| Gumbel-ST2026.05 | 82.46 | — | |
| Soft-Mix2026.05 | 82.2 | — | |
| Gumbel-ST#p/n=16, L=6, k=136, iterations=10k, τ=1.02026.05 | 81.46 | — | |
| Soft-Mix#p/n=16, L=6, k=136, iterations=10k, τ=1.02026.05 | 81.32 | — | |
| Multilinear-STE2026.05 | 79.34 | — | |
| M-STE#p/n=4, L=6, k=136, iterations=10k, τ=1.02026.05 | 78.53 | — | |
| l1/2-KLRSparsity selection protocol=Standard2025.12 | 52.8 | 0 |