Jet tagging on JETCLASS 1 (test)
86.1AccuracyParT
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ParTattention=P-MHA2022.02 | 86.1 | 0.9877 | 10,638 | 4,149 | 123 | 1,864 | 5,479 | 32,787 | 15,873 | 543 | 402 | |
| ParT (plain)attention=plain MHA2022.02 | 84.9 | 0.9859 | 9,569 | 2,911 | 112 | 1,185 | 3,868 | 17,699 | 12,987 | 384 | 311 | |
| ParticleNet2022.02 | 84.4 | 0.9849 | 7,634 | 2,475 | 104 | 954 | 3,339 | 10,526 | 11,173 | 347 | 283 | |
| P-CNN2022.02 | 80.9 | 0.9789 | 4,890 | 1,276 | 88 | 474 | 947 | 2,907 | 2,304 | 241 | 204 | |
| PFN2022.02 | 77.2 | 0.9714 | 2,924 | 841 | 75 | 198 | 265 | 797 | 721 | 189 | 159 |