Jet Substructure Classification on HLF JSC OpenML
76.9AccuracyPQuantML
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| PQuantMLPruning Strategy=no pruning, Implementation Framework=hls4ml2026.03 | 76.9 | 1,175 | 60,089 | 21,201 | 11 | 201.3 | 2 | |
| PQuantMLPruning Strategy=DST, Quantization Granularity=per-tensor, Implementation Framework=hls4ml2026.03 | 76.3 | 147 | 6,298 | 4,034 | 10 | 236.3 | 1 | |
| PQuantMLPruning Strategy=DST, Quantization Granularity=per-weight, Implementation Framework=hls4ml2026.03 | 76.3 | 154 | 3,895 | 2,899 | 10 | 211.8 | 1 | |
| HGQImplementation Framework=hls4ml2026.03 | 76.3 | 15 | 5,209 | 799 | 3 | 215 | 1 | |
| QKeras (HLS)Implementation Framework=hls4ml2026.03 | 76.3 | 175 | 5,504 | 3,036 | 15 | 142.9 | 2 | |
| PQuantMLPruning Strategy=PDP, Quantization Granularity=per-channel, Implementation Framework=hls4ml2026.03 | 76.2 | 205 | 4,605 | 3,991 | 11 | 236.8 | 1 | |
| PQuantMLPruning Strategy=FITCompress, Quantization Granularity=per-channel, Implementation Framework=hls4ml2026.03 | 76 | 45 | 7,904 | 3,226 | 8 | 221.1 | 1 | |
| PQuantMLPruning Strategy=PDP, Quantization Granularity=per-tensor, Implementation Framework=hls4ml2026.03 | 75.89 | 90 | 5,540 | 4,464 | 12 | 254.8 | 1 |