Accuracy of Baseline CNN (TensorFlow) on demo_coding_vs_intergenomic_seqs (Genomic Benchmarks split)
89.6% Accuracy
Methods
- Tested configuration
- Baseline CNN (TensorFlow)
- Task
- Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-ACCURACY: demo_coding_vs_intergenomic_seqs, Accuracy
- Dataset subset
- demo_coding_vs_intergenomic_seqs (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 (TensorFlow) on Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-ACCURACY: demo_coding_vs_intergenomic_seqs, Accuracy
- Coverage
- Not reported scored / Not reported eligible
- Uncertainty
- Not yet extracted
- Evidence
- Author-reported evaluation · source checkedGenomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (TensorFlow) 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.
Reproduction
- 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.
Evidence
Source checking verifies the cited claim or transcription. It does not establish 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 89.6 Individual claims | Genomic benchmarks: a collection of datasets for genomic sequence classification Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (TensorFlow) Accuracy) Version: PMC10150520 | source checked ["deterministic-table-parse"] · 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 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record 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-tensorflow-demo-coding-vs-intergenomic-seqs-accuracy-accuracy
- areas
- dna-genomes
- tasks
- demo_coding_vs_intergenomic_seqs, Accuracy
- metric
- accuracy
- metric direction
- higher
- unit
- percent
- printed value
- 89.6
- numeric value
- 89.6
- source locator
- Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (TensorFlow) Accuracy)
- missing metadata
- denominator: reason: unextracted; seeds: reason: unreported; uncertainty: reason: unextracted
- review
- method: deterministic-table-parse; reviewer: codex; date: 2026-09-18; artifact sha256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10150520/fullTextXML; method note: pinned JATS XML table; row and column counts asserted; reviewer note: role: research agent; no human review claimed; note: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.