Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score
human_nontata_promoters, F1 score. Scored with F1 score on human_nontata_promoters. The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.
Overview
human_nontata_promoters, F1 score. Scored with F1 score on human_nontata_promoters. The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluation design
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Benchmarks
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Recorded evaluations
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Run instructions
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Published comparisons
Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies. The pooled view gathers every source table that reports the same metric and names what it does not hold constant.
Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score
f1 (percent) · Higher values are better for this metric.
Every method Genomic Benchmarks reports on human_nontata_promoters, F1 score, scored with F1 score on human_nontata_promoters.
Evaluation protocol · human_nontata_promoters (Genomic Benchmarks split)
- Baseline CNN (PyTorch) · Configuration · Author-reported evaluation83.7
- Baseline CNN (TensorFlow) · Configuration · Author-reported evaluation84.4
Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.
Genomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_nontata_promoters)Values, uncertainty and evidence
| Tested entity | Printed value | Uncertainty | Evidence |
|---|---|---|---|
| Baseline CNN (PyTorch) · Configuration | 83.7 percent | Not reported | Author-reported evaluation · source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_nontata_promoters), column(Baseline CNN (PyTorch) F1 score) |
| Baseline CNN (TensorFlow) · Configuration | 84.4 percent | Not reported | Author-reported evaluation · source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_nontata_promoters), column(Baseline CNN (TensorFlow) F1 score) |
Scope and limitations
- Author-reported numbers, source checked but not independently reproduced.
- Both columns are the same baseline architecture in two frameworks, not two competing models.
- These are the paper's reference baselines, not a leaderboard of the best available models.
Source transcription and grouping reviewed by automated source review on 2026-09-18. These experiments were not independently reproduced by rewire.
Tested entities and results
Release 2026-09-17-134cd1815de8 · 2 evaluations · 2 metric rows. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score Configuration: Baseline CNN (PyTorch)Task: Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 scoreDataset subset: human_nontata_promoters (Genomic Benchmarks split) The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1. Author-reported evaluation · Evaluation metadata: source checked | ||
| 83.7% f1 Unit: percent · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_nontata_promoters), column(Baseline CNN (PyTorch) F1 score) Source checking is not independent reproduction. |
| Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score Configuration: Baseline CNN (TensorFlow)Task: Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 scoreDataset subset: human_nontata_promoters (Genomic Benchmarks split) The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1. Author-reported evaluation · Evaluation metadata: source checked | ||
| 84.4% f1 Unit: percent · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_nontata_promoters), column(Baseline CNN (TensorFlow) F1 score) Source checking is not independent reproduction. |
Evidence table
Inspect claims, sources and review details
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Relationship: part of discovery-benchmark-genomic-benchmarks Individual claims | Genomic benchmarks: a collection of datasets for genomic sequence classification Table 2, row(human_nontata_promoters) Version: PMC10150520 | source checked automated source review · 2026-09-18 Audit detailsPrimary-source transcription with no human sign-off and no independent reproduction. Field: Claim: genomic-benchmarks-association-human-nontata-promoters-f1 Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-134cd1815de8 · Record review: source checked
1 source records and release history
- Genomic benchmarks: a collection of datasets for genomic sequence classification · Original source · PMC10150520
Technical metadata and extraction receipts
Stable ID: genomic-benchmarks-task-human-nontata-promoters-f1
- areas
- dna-genomes
- tasks
- human_nontata_promoters, F1 score
- metric
- F1 score
- metric direction
- higher
- dataset
- human_nontata_promoters
- protocol
- The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.
- source locator
- Table 2, row(human_nontata_promoters)
- comparison panels
- id: genomic-benchmarks-panel-human-nontata-promoters-f1; title: Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score; protocol id: genomic-benchmarks-task-human-nontata-promoters-f1; dataset id: genomic-benchmarks-dataset-human-nontata-promoters; metric: f1; unit: percent; direction: higher; result ids: genomic-benchmarks-result-baseline-cnn-pytorch-human-nontata-promoters-f1-f1; genomic-benchmarks-result-baseline-cnn-tensorflow-human-nontata-promoters-f1-f1; source ids: expansion-p3-genomic-benchmarks; source locator: Table 2, row(human_nontata_promoters); context: Every method Genomic Benchmarks reports on human_nontata_promoters, F1 score, scored with F1 score on human_nontata_promoters.; caveats: Author-reported numbers, source checked but not independently reproduced.; Both columns are the same baseline architecture in two frameworks, not two competing models.; These are the paper's reference baselines, not a leaderboard of the best available models.; review: method: automated_source_review; date: 2026-09-18
Related records
- part of: Genomic Benchmarks
- subject: Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: part of discovery-benchmark-genomic-benchmarks
- benchmark: Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score
- benchmark: Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-NONTATA-PROMOTERS-F1: human_nontata_promoters, F1 score