0.9693009118541034 accuracy
XGBoost (log scran) · Open Problems label projection PANCREAS-RANDOM-ACCURACY · Accuracy
- Tested configuration
- XGBoost (log scran)
- Task
- Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy
- Dataset subset
- Pancreas (random split) (Open Problems label projection split)
- 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).
- Evaluation
- XGBoost (log scran) on Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy
- Evidence
- Author-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log scran), 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.
Methods and reproduction
Open Problems label projection evaluation of XGBoost (log scran) on Label projection on Pancreas (random split), Accuracy, scored with Accuracy.
- task
- Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy
- configuration
- XGBoost (log scran)
- dataset subset
- Pancreas (random split) (Open Problems label projection 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 |
|---|---|---|
| XGBoost (log scran) on Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy Configuration: XGBoost (log scran)Task: Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), AccuracyDataset 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 | ||
| 0.9693009118541034 accuracy Unit: fraction · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log scran), metric(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 0.9693009118541034 Individual claims | openproblems-label primary benchmark evidence results, dataset(pancreas_random), method(xgboost), paramset(log scran), metric(accuracy) Version: v1.0.0 | source checked Deterministic parse of the run records embedded in the pinned page, with the direction of each metric taken from the page's own maximize flag · 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
Download this releaseTechnical metadata and extraction receipts
Stable ID: open-problems-result-xgboost-log-scran-pancreas-random-accuracy-accuracy
- areas
- cells-tissues
- tasks
- Label projection on Pancreas (random split), Accuracy
- metric
- accuracy
- metric direction
- higher
- unit
- fraction
- printed value
- 0.9693009118541034
- numeric value
- 0.9693009118541034
- uncertainty
- Not reported
- source locator
- results, dataset(pancreas_random), method(xgboost), paramset(log scran), metric(accuracy)
- missing metadata
- denominator: unextracted; seeds: unreported
- review
- method: Deterministic parse of the run records embedded in the pinned page, with the direction of each metric taken from the page's own maximize flag; reviewer: Codex research agent; no human review claimed; date: 2026-09-18; artifact sha256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1; retrieval url: https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/; notes: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.