Multilayer perceptron (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
Open Problems label projection evaluation of Multilayer perceptron (log CP10k) on Label projection on Pancreas (random split), F1 score, scored with F1 score.
Methods and reproduction
Open Problems label projection evaluation of Multilayer perceptron (log CP10k) on Label projection on Pancreas (random split), F1 score, scored with F1 score.
- task
- Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
- configuration
- Multilayer perceptron (log CP10k)
- dataset subset
- Pancreas (random split) (Open Problems label projection split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- F1 score
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 procedure
Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).
- Configuration
- Multilayer perceptron (log CP10k)
- Task
- Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
- Dataset subset
- Pancreas (random split) (Open Problems label projection split)
- origin
- Author-reported evaluation
- configuration
- Not reported
- protocol id
- open-problems-task-pancreas-random-f1
- metric implementation
- F1 score
Metadata review: source checked. Unreported conditions prevent automatic comparisons.
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 |
|---|---|---|
| Multilayer perceptron (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 scoreDataset subset: Pancreas (random split) (Open Problems label projection split) Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type). Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.9880554686775588 f1 Unit: fraction · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) 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.
10 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.metric_implementation F1 score Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.protocol_id open-problems-task-pancreas-random-f1 Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.origin author_reported Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.protocol Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type). Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.source_locator results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Open Problems label projection evaluation of Multilayer perceptron (log CP10k) on Label projection on Pancreas (random split), F1 score, scored with F1 score. Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: benchmark open-problems-task-pancreas-random-f1 Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: dataset open-problems-dataset-pancreas-random-split Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: model open-problems-method-multilayer-perceptron-log-cp10k Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name Multilayer perceptron (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score Context-only references | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported 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
Download this releaseTechnical metadata and extraction receipts
Stable ID: open-problems-evaluation-multilayer-perceptron-log-cp10k-pancreas-random-f1
- areas
- cells-tissues
- tasks
- Label projection on Pancreas (random split), F1 score
- origin
- author_reported
- protocol
- Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).
- comparison
- protocol id: open-problems-task-pancreas-random-f1; metric implementation: F1 score
- missing metadata
- checkpoint revision: unreported; seeds: unreported; budget: unreported; split manifest: unextracted
- source locator
- results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1)
Related records
- benchmark: Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
- model: Multilayer perceptron (log CP10k)
- dataset: Pancreas (random split) (Open Problems label projection split)
- evaluation: Multilayer perceptron (log CP10k) · Open Problems label projection PANCREAS-RANDOM-F1 · F1 score