Label Distribution Learning on Movie (3 random splits)
0.06KL DivERDF
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 | 0.06 | 0.0939 | 0.4289 | 0.8026 | 0.9604 | 87.15 | |
| StructRFnumber of trees=100, max depth=102026.02 | 0.0926 | 0.1108 | 0.5035 | 0.9597 | 0.9391 | 84.24 | |
| LDL-SCLhyperparameters=λ1, λ2, λ3 tuned from {10^-1, 10^-2, 10^-3}, number of clusters=5 or 102026.02 | 0.1024 | 0.1189 | 0.5309 | 1.0143 | 0.9321 | 83.17 | |
| AA-KNNk=5, distance metric=minkowski2026.02 | 0.1133 | 0.1227 | 0.5463 | 1.0462 | 0.9251 | 82.46 | |
| AA-BPoptimizer=SA-BFGS, max iterations=5002026.02 | 0.1318 | 0.1363 | 0.6146 | 1.1636 | 0.9144 | 80.51 |