OpenML

Last updated: 15 September 2023 at 15:45.

OpenML is a platform to share detailed experimental machine learning results with the community at large and organize them for future reuse.

General information

Type of service: Data storage
Service homepage: https://www.openml.org
Provider: OpenML
Provider homepage: https://www.openml.org
Provides end-user support: supported

Administrative information

Data curation strategy: OpenML automatically analyzes the data, checks for problems, visualizes it, and computes data characteristics, also called data qualities (including simple ones like number of features, but also more complex statistics like kurtosis or the AUC of a decision tree of depth 3). These data qualities can be useful to find and compare datasets.
Metrics: To encourage open science, OpenML now includes a score system to track and reward scientific activity, reach and impact, and in the future will include further gamification features such as badges.
Funding source: European Commission, Pascal 2, Netherlands Organisation for Scientific Research
Intellectual property: https://docs.openml.org/terms/
User agreement: https://docs.openml.org/terms/
Contact: openml@googlegroups.com

Target group

Target audience(s): Faculty of Science
Stage in research process: After, During

Costs

Costs:

Classification of the service

Confidentiality classifications for data: Internal / Restricted, Public

Additional information

Additional information:

Formats

Accepted metadata formats:
Accepted file formats:
Supported data type(s): Configuration data, Databases, Other, Plain text, Software applications, Source code, Standard office documents, Structured graphics

Storage

Maximum size of data:
Version management: supported
Quality control: supported

Access

Access requirements:
Tools/Interfaces for access: Web-interface

Preservation

Long term guarantees: