# Jet Substructure Classification on HLF JSC OpenML Source: [Jet Substructure Classification on HLF JSC OpenML]() Collection index: [llms.txt]() Data updated: 2026-03-30T08:00:49.576Z Evaluation of Jet Substructure Classification performance on the HLF JSC OpenML dataset, reporting classification accuracy (Acc.) alongside hardware utilization and timing metrics (DSP, LUT, FF, Latency, Fmax, II). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Jet Substructure Classification | | Dataset (including any stated split) | HLF JSC OpenML | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. - [DSP Usage](): Lower is better; unit: SIZE. - [LUT Usage](): Lower is better; unit: SIZE. - [FF Usage](): Lower is better; unit: SIZE. - [Latency (cycles)](): Lower is better; unit: TIME. - [Fmax (MHz)](): Higher is better; unit: SCALAR. - [Initiation Interval (cycles)](): Lower is better; unit: TIME. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | PQuantML | 76.9 | Not recorded | 69ca03a90636e5bf4afc94b9 | | PQuantML | 76.3 | Not recorded | 69ca03a90636e5bf4afc94b9 | | PQuantML | 76.3 | Not recorded | 69ca03a90636e5bf4afc94b9 | | HGQ | 76.3 | Not recorded | 69ca03a90636e5bf4afc94b9 | | QKeras (HLS) | 76.3 | Not recorded | 69ca03a90636e5bf4afc94b9 | | PQuantML | 76.2 | Not recorded | 69ca03a90636e5bf4afc94b9 | | PQuantML | 76 | Not recorded | 69ca03a90636e5bf4afc94b9 | | PQuantML | 75.89 | Not recorded | 69ca03a90636e5bf4afc94b9 | ### PQuantML Accuracy: 76.9. Result ID: 69ca2d9547f34ce924b2a425. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"no pruning","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### PQuantML Accuracy: 76.3. Result ID: 69ca2d9547f34ce924b2a426. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"DST","Quantization Granularity":"per-tensor","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### PQuantML Accuracy: 76.3. Result ID: 69ca2d9547f34ce924b2a427. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"DST","Quantization Granularity":"per-weight","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### HGQ Accuracy: 76.3. Result ID: 69ca2d9547f34ce924b2a42b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### QKeras (HLS) Accuracy: 76.3. Result ID: 69ca2d9547f34ce924b2a42c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### PQuantML Accuracy: 76.2. Result ID: 69ca2d9547f34ce924b2a429. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"PDP","Quantization Granularity":"per-channel","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### PQuantML Accuracy: 76. Result ID: 69ca2d9547f34ce924b2a42a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"FITCompress","Quantization Granularity":"per-channel","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. ### PQuantML Accuracy: 75.89. Result ID: 69ca2d9547f34ce924b2a428. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pruning Strategy":"PDP","Quantization Granularity":"per-tensor","Implementation Framework":"hls4ml"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.