Label Distribution Learning on emotion6 (3 random splits)
0.5111KL DivergenceERDF
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ERDFnumber of trees=100, max depth=10, max cascade forest layers=10, early stopping tolerance=1, feature enhancement k=52026.02 | 0.5111 | 0.2869 | 1.6495 | 3.6858 | 0.7496 | 62.38 | |
| LDL-SCLhyperparameters=λ1, λ2, λ3 tuned from {10^-1, 10^-2, 10^-3}, number of clusters=5 or 102026.02 | 0.5862 | 0.3108 | 1.6503 | 3.7 | 0.7152 | 58.33 | |
| StructRFnumber of trees=100, max depth=102026.02 | 0.5893 | 0.3137 | 1.6569 | 3.7285 | 0.7125 | 57.93 | |
| AA-BPoptimizer=SA-BFGS, max iterations=5002026.02 | 0.6802 | 0.3413 | 1.6686 | 3.7883 | 0.6657 | 54.4 | |
| AA-KNNk=5, distance metric=minkowski2026.02 | 0.9038 | 0.3326 | 1.7087 | 3.8728 | 0.6561 | 55.34 |