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openproblems-label primary benchmark evidence

v1.0.0

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Records in this release that cite this source. A record can cite several sources.

2 methods
14 configurations
1 benchmark
25 tasks
8 dataset subsets
384 evaluations
384 results
24 evidence claims

Results

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Claims

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Open Problems label projection CENGEN-BATCH-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_batch), metric(accuracy))
Open Problems label projection CENGEN-BATCH-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_batch), metric(f1_macro))
Open Problems label projection CENGEN-BATCH-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_batch), metric(f1))
Open Problems label projection CENGEN-RANDOM-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_random), metric(accuracy))
Open Problems label projection CENGEN-RANDOM-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_random), metric(f1_macro))
Open Problems label projection CENGEN-RANDOM-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(cengen_random), metric(f1))
Open Problems label projection PANCREAS-BATCH-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_batch), metric(accuracy))
Open Problems label projection PANCREAS-BATCH-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_batch), metric(f1_macro))
Open Problems label projection PANCREAS-BATCH-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_batch), metric(f1))
Open Problems label projection PANCREAS-RANDOM-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random), metric(accuracy))
Open Problems label projection PANCREAS-RANDOM-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random), metric(f1_macro))
Open Problems label projection PANCREAS-RANDOM-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random), metric(f1))
Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random_label_noise), metric(accuracy))
Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random_label_noise), metric(f1_macro))
Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(pancreas_random_label_noise), metric(f1))
Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(tabula_muris_senis_lung_random), metric(accuracy))
Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(tabula_muris_senis_lung_random), metric(f1_macro))
Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(tabula_muris_senis_lung_random), metric(f1))
Open Problems label projection ZEBRAFISH-LABS-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_labs), metric(accuracy))
Open Problems label projection ZEBRAFISH-LABS-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_labs), metric(f1_macro))
Open Problems label projection ZEBRAFISH-LABS-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_labs), metric(f1))
Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_random), metric(accuracy))
Open Problems label projection ZEBRAFISH-RANDOM-F1-MACRO: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_random), metric(f1_macro))
Open Problems label projection ZEBRAFISH-RANDOM-F1: part of discovery-benchmark-open-problems: Part of Open Problems (results, dataset(zebrafish_random), metric(f1))

Models, benchmarks and other records

Methods (2)

Configurations (14)

Benchmarks (1)

Open Problems

Tasks (25)

Dataset subsets (8)

Evaluations (384)

Evidence

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Evidence table

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15 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Artifact SHA-256 e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1 Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.artifact_sha256` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Artifact url https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/ Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.artifact_url` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Hash scope Exact retrieved primary paper artifact bytes. Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.hash_scope` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Retrieved at 2026-09-16T21:16:30.026457+00:00 Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.retrieved_at` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Review method 1 values automated-source-review Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.review.method` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Review: scope Source identification and table transcription; no independent experimental reproduction. Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.review.scope` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Url https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/ Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.url` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Version v1.0.0 Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Description Primary reference; inspect retrieval status and review scope. Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Search facets None recorded Source metadata	openproblems-label primary benchmark evidence Original source ↗ No field-specific location recorded Version: v1.0.0 Retrieved: 2026-09-16T21:16:30.026457+00:00	catalogued No individual claim review recorded Audit details Field: `facets` Source artifact SHA-256: `e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: expansion-p3-open-problems

url: https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/
version: v1.0.0
retrieved at: 2026-09-16T21:16:30.026457+00:00
artifact sha256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1
artifact url: https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/
hash scope: Exact retrieved primary paper artifact bytes.
review: scope: Source identification and table transcription; no independent experimental reproduction.; method: automated-source-review

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Model or configuration	Metric	Value	Dataset	Evaluation
K-neighbors classifier (log CP10k)	Accuracy	0.8124625524266027 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.39834484361073036 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.831091398368635 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.8492439964423362 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.7672490394127152 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.8517360245741384 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-RANDOM-F1: Label projection on CeNGEN (random split), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.874492832025967 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.8089500380663799 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-BATCH-F1-MACRO: Label projection on Pancreas (by batch), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.8731145520258626 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-BATCH-F1: Label projection on Pancreas (by batch), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.9650455927051672 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.8962212379632082 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.964346201217482 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.9463790446841295 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-ACCURACY: Label projection on Pancreas (random split with label noise), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.8361237623993133 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1-MACRO: Label projection on Pancreas (random split with label noise), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.9460810866713062 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1: Label projection on Pancreas (random split with label noise), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.8611835506519558 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-ACCURACY: Label projection on Tabula Muris Senis Lung (random split), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.8714241831337218 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1-MACRO: Label projection on Tabula Muris Senis Lung (random split), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.8585497668879454 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1: Label projection on Tabula Muris Senis Lung (random split), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.12981704943557804 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-LABS-ACCURACY: Label projection on Zebrafish (by laboratory), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.16437714442609613 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-LABS-F1-MACRO: Label projection on Zebrafish (by laboratory), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.14229308051699885 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-LABS-F1: Label projection on Zebrafish (by laboratory), F1 score
K-neighbors classifier (log CP10k)	Accuracy	0.8060711523588554 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
K-neighbors classifier (log CP10k)	Macro F1	0.6240963193194412 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-F1-MACRO: Label projection on Zebrafish (random split), Macro F1 score
K-neighbors classifier (log CP10k)	Weighted F1	0.8014734891499417 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-F1: Label projection on Zebrafish (random split), F1 score
K-neighbors classifier (log scran)	Accuracy	0.7872977831036548 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.3507138447877583 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.8046070625910249 fraction	CeNGEN (split by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
K-neighbors classifier (log scran)	Accuracy	0.8380274730704615 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.7495378715122704 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.8369482993272568 fraction	CeNGEN (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection CENGEN-RANDOM-F1: Label projection on CeNGEN (random split), F1 score
K-neighbors classifier (log scran)	Accuracy	0.8290505815526102 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.5774678768528779 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-BATCH-F1-MACRO: Label projection on Pancreas (by batch), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.832422691059586 fraction	Pancreas (by batch) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-BATCH-F1: Label projection on Pancreas (by batch), F1 score
K-neighbors classifier (log scran)	Accuracy	0.9644376899696049 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-ACCURACY: Label projection on Pancreas (random split), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.7715105401247113 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.963539669184525 fraction	Pancreas (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-F1: Label projection on Pancreas (random split), F1 score
K-neighbors classifier (log scran)	Accuracy	0.9411402157164869 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-ACCURACY: Label projection on Pancreas (random split with label noise), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.7218714554626218 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1-MACRO: Label projection on Pancreas (random split with label noise), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.9404360005933883 fraction	Pancreas (random split with label noise) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-LABEL-NOISE-F1: Label projection on Pancreas (random split with label noise), F1 score
K-neighbors classifier (log scran)	Accuracy	0.8686058174523571 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-ACCURACY: Label projection on Tabula Muris Senis Lung (random split), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.8275820800516215 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1-MACRO: Label projection on Tabula Muris Senis Lung (random split), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.8638651253107504 fraction	Tabula Muris Senis Lung (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection TABULA-MURIS-SENIS-LUNG-RANDOM-F1: Label projection on Tabula Muris Senis Lung (random split), F1 score
K-neighbors classifier (log scran)	Accuracy	0.1913844556896328 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-LABS-ACCURACY: Label projection on Zebrafish (by laboratory), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.1995615455583369 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-LABS-F1-MACRO: Label projection on Zebrafish (by laboratory), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.2018575253249313 fraction	Zebrafish (by laboratory) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-LABS-F1: Label projection on Zebrafish (by laboratory), F1 score
K-neighbors classifier (log scran)	Accuracy	0.8022041763341067 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
K-neighbors classifier (log scran)	Macro F1	0.6493289517704377 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-F1-MACRO: Label projection on Zebrafish (random split), Macro F1 score
K-neighbors classifier (log scran)	Weighted F1	0.8026197598424966 fraction	Zebrafish (random split) (Open Problems label projection split)	K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-F1: Label projection on Zebrafish (random split), F1 score
Logistic regression (log CP10k)	Accuracy	0.8783702816057519 fraction	CeNGEN (split by batch) (Open Problems label projection split)	Logistic regression (log CP10k) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Logistic regression (log CP10k)	Macro F1	0.5108683585871248 fraction	CeNGEN (split by batch) (Open Problems label projection split)	Logistic regression (log CP10k) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score