69.5% accuracy
Baseline CNN (PyTorch) · Genomic Benchmarks HUMAN-ENHANCERS-COHN-ACCURACY · Accuracy
- Tested configuration
- Baseline CNN (PyTorch)
- Task
- Genomic Benchmarks HUMAN-ENHANCERS-COHN-ACCURACY: human_enhancers_cohn, Accuracy
- Dataset subset
- human_enhancers_cohn (Genomic Benchmarks split)
- Procedure
- 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.
- Evaluation
- Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-ENHANCERS-COHN-ACCURACY: human_enhancers_cohn, Accuracy
- Evidence
- Author-reported evaluation · source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(human_enhancers_cohn), column(Baseline CNN (PyTorch) Accuracy)
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.
Methods and reproduction
Genomic Benchmarks evaluation of Baseline CNN (PyTorch) on human_enhancers_cohn, Accuracy, scored with Accuracy.
- task
- Genomic Benchmarks HUMAN-ENHANCERS-COHN-ACCURACY: human_enhancers_cohn, Accuracy
- configuration
- Baseline CNN (PyTorch)
- dataset subset
- human_enhancers_cohn (Genomic Benchmarks split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- Accuracy
No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.
Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.
Evaluation results
Release 2026-09-17-134cd1815de8 · 1 evaluation · 1 metric row. 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-ENHANCERS-COHN-ACCURACY: human_enhancers_cohn, Accuracy Configuration: Baseline CNN (PyTorch)Task: Genomic Benchmarks HUMAN-ENHANCERS-COHN-ACCURACY: human_enhancers_cohn, AccuracyDataset subset: human_enhancers_cohn (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 | ||
| 69.5% accuracy 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_enhancers_cohn), column(Baseline CNN (PyTorch) Accuracy) 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 |
|---|---|---|
| Reported result 69.5 Individual claims | Genomic benchmarks: a collection of datasets for genomic sequence classification Table 2, row(human_enhancers_cohn), column(Baseline CNN (PyTorch) Accuracy) Version: PMC10150520 | source checked Deterministic parse of the pinned JATS XML table, with row and column counts asserted · 2026-09-18 author reported Audit detailsSource checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. Extraction artifact SHA-256: |
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-result-baseline-cnn-pytorch-human-enhancers-cohn-accuracy-accuracy
- areas
- dna-genomes
- tasks
- human_enhancers_cohn, Accuracy
- metric
- accuracy
- metric direction
- higher
- unit
- percent
- printed value
- 69.5
- numeric value
- 69.5
- uncertainty
- Not reported
- source locator
- Table 2, row(human_enhancers_cohn), column(Baseline CNN (PyTorch) Accuracy)
- missing metadata
- denominator: unextracted; seeds: unreported
- review
- method: Deterministic parse of the pinned JATS XML table, with row and column counts asserted; reviewer: Codex research agent; no human review claimed; date: 2026-09-18; artifact sha256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10150520/fullTextXML; notes: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.