Open Machine Learning (OpenML)

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General information
URL https://www.openml.org/
Description OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse.re3data record: http://doi.org/10.17616/R3HC9N
Organisation TU Eindhoven (Data Science Center)
Leiden University (Data mining group)



Type of service Storage facility, Software application
Legislation Netherlands



Usage and appreciation 1700000 machine learning experiments on 19630 datasets and 3370 implementations


Support organisation openml@googlegroups.com
Context
Stage in the research project During, After
Postion within the research process3. Analysing data, 4. Preserving data, 5. Giving access to data, 6. Re-using data
Domain 2. Collaboration curation boundary, 3. Shared Research Domain, 5. Public Domain
Type of data 1. Raw data and data sets, 2. Data collections and structured databases, 3. Processed data and data representations
Data curation1. Create or Receive, 2. Appraise & Select, 3. Ingest, 4. Preservation action, 5. Store, 6. Acces, use and re-use
Data classification Klasse 3 voor openbare informatie, Klasse 2 voor interne informatie [voor een beperkte groep]
Administrative information
Funding
Depositor agreement
User agreement https://docs.openml.org/terms/
Policy
Intellectual property
Data curation strategy
Target group
Faculty Science
Primary target group Computer Science Computer Science, Electrical and System Engineering Education Sciences Engineering Sciences Humanities and Social Sciences Social and Behavioural Sciences



Secondary target group
Classification of the service
Availability
Integrity
Confidentiality
Formats
Accepted metadata formats
Accepted content types
Accepted preferred formats
Accepteerde file formats
Storage
Maximum size of deposits
Version management No
Quality control
Access
Access requirements
Tools / Interfaces for access API: https://docs.openml.org/#programming-apis
(Persistent) identifiers
Preservation
Long term guarantees
Complies with international standards for trusted repositories Not certified
Preservation strategy
Costs
Storage No
Access
Preservation
Special conditions
Agreements with Leiden University None
Risks