human_enhancers_ensembl (Genomic Benchmarks split)
The split of human_enhancers_ensembl that Genomic Benchmarks evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.
Subset and evaluation context
This record describes a particular subset or cohort used in an evaluation. Its results do not describe the full dataset.
Evaluation results
Release 2026-09-17-134cd1815de8 · 4 evaluations · 4 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-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, Accuracy Configuration: Baseline CNN (PyTorch)Task: Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, AccuracyDataset subset: human_enhancers_ensembl (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 | ||
| 68.9% 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_ensembl), column(Baseline CNN (PyTorch) Accuracy) Source checking is not independent reproduction. |
| Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 score Configuration: Baseline CNN (PyTorch)Task: Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 scoreDataset subset: human_enhancers_ensembl (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 | ||
| 56.5% 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_enhancers_ensembl), column(Baseline CNN (PyTorch) F1 score) Source checking is not independent reproduction. |
| Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, Accuracy Configuration: Baseline CNN (TensorFlow)Task: Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, AccuracyDataset subset: human_enhancers_ensembl (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 | ||
| 81.1% 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_ensembl), column(Baseline CNN (TensorFlow) Accuracy) Source checking is not independent reproduction. |
| Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 score Configuration: Baseline CNN (TensorFlow)Task: Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 scoreDataset subset: human_enhancers_ensembl (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 | ||
| 74.6% 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_enhancers_ensembl), 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.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| description The split of human_enhancers_ensembl that Genomic Benchmarks evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits. Context-only references | Genomic benchmarks: a collection of datasets for genomic sequence classification No field-specific location recorded Version: PMC10150520 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name human_enhancers_ensembl (Genomic Benchmarks split) Context-only references | Genomic benchmarks: a collection of datasets for genomic sequence classification No field-specific location recorded Version: PMC10150520 | not individually reviewed No individual claim review recorded Audit detailsField: 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-dataset-human-enhancers-ensembl
- areas
- dna-genomes
- missing metadata
- version: unreported; url: unextracted
Related records
- dataset: Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, Accuracy
- dataset: Baseline CNN (PyTorch) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 score
- dataset: Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-ACCURACY: human_enhancers_ensembl, Accuracy
- dataset: Baseline CNN (TensorFlow) on Genomic Benchmarks HUMAN-ENHANCERS-ENSEMBL-F1: human_enhancers_ensembl, F1 score