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PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Bioinformatics(2021)10.1093/bioinformatics/btab727Source: DataRank Database

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods is a dataset published in Bioinformatics (2021). On theSindex it has a DataRank of 0.359, placing it in the top 49.4% of the data-sharing corpus. It has been cited 4 times, with 4 citing works in its 1-hop citation network.

Top 49%percentile

0.359DataRank

Ranks in the top 49% for downstream scientific impact

Data paper Open Access4 citations · 4 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (20 grants)OA: hybridTopics (19)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 67%Citation Network 33%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.118

From 2 citing papers with measurable signal

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Top 4 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 4 citers.

High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
arXiv (Cornell University)20212 citations12 referencesContributes 0.092
PSB2: The Second Program Synthesis Benchmark Suite
Zenodo (CERN European Organization for Nuclear Research)20214 citations34 referencesContributes 0.047
Improve High Level Classification with a More Sensitive metric and Optimization approach for Complex Network Building
arXiv (Cornell University)20210 citations7 referencesContributes 0.000
Learning Optimal Decision Trees Using MaxSAT
arXiv (Cornell University)20210 citations22 referencesContributes 0.000

Authors (10)

Trang T. Le ORCID,William La Cava ORCID,John Gregg ORCID,Daniel J. Goldberg,Praneel Chakraborty

Live enrichment

PubMed:34677586 PMC:PMC8756190

National Institutes of Health

Grant: R01-AI116794

National Institutes of Health

Grant: R01-LM010098

National Institutes of Health

Grant: R01-LM012601

National Institutes of Health

Grant: T32-ES019851

National Institutes of Health

Grant: K99-LM012926

National Institutes of Health

Grant: K99-LM012646

NIEHS NIH HHS

Grant: T32 ES019851

NLM NIH HHS

Grant: K99 LM013646

NLM NIH HHS

Grant: K99 LM012926

NLM NIH HHS

Grant: R00 LM012926

NLM NIH HHS

Grant: R00 LM013646

NLM NIH HHS

Grant: R01 LM010098

NIAID NIH HHS

Grant: R01 AI116794

NLM NIH HHS

Grant: R01 LM012601

NHGRI NIH HHS

Grant: T32 HG000046

National Institutes of Health

Grant: 2R01AI012601-24

IMMUNE MECHANISMS IN EXPERIMENTAL SYPHILIS

National Institutes of Health

Grant: 1K99LM012926-01A1

Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records

National Institutes of Health

Grant: 5T32ES019851-09

Translational Research Training Program in Environmental Health Sciences

National Institutes of Health

Grant: 5R01AI116794-03

Biomedical Computing and Informatics Strategies for Infectious Disease Research

National Institutes of Health

Grant: 5R01LM010098-14

Bioinformatics Strategies for Genome Wide Association Studies

hybridLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/article-pdf/38/3/878/42167734/btab727.pdf

publisherhttp://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btab727/41048448/btab727.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/38/3/878/49007845/btab727.pdf

repositoryhttps://arxiv.org/pdf/2012.00058

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8756190

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciencesSoftwareMachine LearningModels, Statistical

MeSH Terms

Models, StatisticalSoftwareMachine Learning

Keywords

Machine LearningFOS: Computer and information sciencesComputer Science - Machine LearningModels, StatisticalComputer Science - DatabasesH.2.8Databases (cs.DB)Applications NotesSoftwareMachine Learning (cs.LG)