Bounce Dynamics Prediction on Table Tennis Rackets 1.0 (test)
16MAE v'MLP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MLPRacket=9, Variant=2D2026.04 | 16 | 11 | |
| GP ModelRacket=9, Variant=2D2026.04 | 16 | 11 | |
| LinearRacket=8, Variant=2D2026.04 | 17 | 11 | |
| MLPRacket=8, Variant=2D2026.04 | 17 | 10 | |
| GP ModelRacket=8, Variant=2D2026.04 | 17 | 9 | |
| LinearRacket=9, Variant=2D2026.04 | 17 | 13 | |
| GP ModelRacket=2, Variant=2D2026.04 | 18 | 6 | |
| MLPRacket=4, Variant=2D2026.04 | 18 | 7 | |
| GP ModelRacket=4, Variant=2D2026.04 | 18 | 7 | |
| MLPRacket=7, Variant=2D2026.04 | 18 | 8 | |
| GP ModelRacket=7, Variant=2D2026.04 | 18 | 8 | |
| Residual MLPRacket=9, Variant=2D2026.04 | 18 | 8 | |
| MLPRacket=2, Variant=2D2026.04 | 19 | 7 | |
| GP ModelRacket=5, Variant=2D2026.04 | 19 | 7 | |
| LinearRacket=7, Variant=2D2026.04 | 19 | 8 | |
| GP ModelRacket=Mean, Variant=2D2026.04 | 19 | 9 | |
| GP ModelRacket=1, Variant=2D2026.04 | 20 | 11 | |
| LinearRacket=2, Variant=2D2026.04 | 20 | 8 | |
| Residual MLPRacket=2, Variant=2D2026.04 | 20 | 7 | |
| LinearRacket=4, Variant=2D2026.04 | 20 | 8 | |
| Residual MLPRacket=4, Variant=2D2026.04 | 20 | 6 | |
| MLPRacket=6, Variant=2D2026.04 | 20 | 8 | |
| GP ModelRacket=6, Variant=2D2026.04 | 20 | 9 | |
| Residual MLPRacket=7, Variant=2D2026.04 | 20 | 11 | |
| MLPRacket=Mean, Variant=2D2026.04 | 20 | 10 | |
| LinearRacket=1, Variant=2D2026.04 | 21 | 12 | |
| MLPRacket=1, Variant=2D2026.04 | 21 | 11 | |
| Residual MLPRacket=1, Variant=2D2026.04 | 21 | 8 | |
| Residual MLPRacket=8, Variant=2D2026.04 | 21 | 10 | |
| LinearRacket=Mean, Variant=2D2026.04 | 21 | 11 | |
| GP ModelRacket=10, Variant=2D2026.04 | 22 | 8 | |
| GP ModelRacket=3, Variant=2D2026.04 | 23 | 11 | |
| LinearRacket=10, Variant=2D2026.04 | 23 | 9 | |
| LinearRacket=3, Variant=2D2026.04 | 24 | 13 | |
| MLPRacket=3, Variant=2D2026.04 | 24 | 13 | |
| MLPRacket=5, Variant=2D2026.04 | 24 | 11 | |
| Residual MLPRacket=3, Variant=2D2026.04 | 25 | 11 | |
| LinearRacket=6, Variant=2D2026.04 | 25 | 11 | |
| Residual MLPRacket=10, Variant=2D2026.04 | 25 | 13 | |
| Residual MLPRacket=Mean, Variant=2D2026.04 | 25 | 12 | |
| ConstantRacket=7, Variant=2D2026.04 | 26 | 12 | |
| MLPRacket=10, Variant=2D2026.04 | 26 | 12 | |
| ConstantRacket=2, Variant=2D2026.04 | 27 | 8 | |
| LinearRacket=5, Variant=2D2026.04 | 27 | 13 | |
| ConstantRacket=8, Variant=2D2026.04 | 27 | 12 | |
| ConstantRacket=10, Variant=2D2026.04 | 27 | 16 | |
| ConstantRacket=4, Variant=2D2026.04 | 30 | 9 | |
| ConstantRacket=9, Variant=2D2026.04 | 30 | 15 | |
| ConstantRacket=1, Variant=2D2026.04 | 33 | 14 | |
| ConstantRacket=Mean, Variant=2D2026.04 | 33 | 15 | |
| Residual MLPRacket=6, Variant=2D2026.04 | 35 | 21 | |
| ConstantRacket=3, Variant=2D2026.04 | 37 | 16 | |
| Residual MLPRacket=5, Variant=2D2026.04 | 41 | 24 | |
| ConstantRacket=6, Variant=2D2026.04 | 43 | 25 | |
| ConstantRacket=5, Variant=2D2026.04 | 48 | 27 |