Accuracy of Multilayer perceptron (log CP10k) on CeNGEN (random split) (Open Problems label projection split)
0.858 Accuracy
Methods
- Tested configuration
- Multilayer perceptron (log CP10k)
- Task
- Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
- Dataset subset
- CeNGEN (random split) (Open Problems label projection split)
- Procedure
- 100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test randomly. Dimensions: 100955 cells, 22469 genes. 169 cell types avg. 597±800 cells per cell type).
- Evaluation
- Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
- Coverage
- Not reported scored / Not reported eligible
- Uncertainty
- Not yet extracted
- Evidence
- Author-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(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 0.8575946239747011 Individual claims | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(accuracy) Version: v1.0.0 | 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
Download this release (gzip)Technical metadata and extraction receipts
Stable ID: open-problems-result-multilayer-perceptron-log-cp10k-cengen-random-accuracy-accuracy
- areas
- cells-tissues
- tasks
- Label projection on CeNGEN (random split), Accuracy
- metric
- accuracy
- metric direction
- higher
- unit
- fraction
- printed value
- 0.8575946239747011
- numeric value
- 0.8575946239747011
- source locator
- results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(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: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1; retrieval url: https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/; method note: run records embedded in the pinned page; direction of each metric taken from the page's own maximize flag; 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.