UC Irvine Machine Learning Repository
- Machine Learning
Data source type
Time period coverage
The University of California Irvine Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. The repository maintains about 600 datasets from various subjects, including e.g.,
- Computer Science
- Life Sciences
- Physical Sciences
- Social Sciences
You can search data based on characteristics (e.g. tabular, time-series, sequential, text) or the associated tasks the data is meant for (classification, regression, clustering). Note that a new version of the website is under development.
UCI MRL gratefully acknowledges funding support from the National Science Foundation.
Citation instructions are provided at each dataset in the repository.
Contact information is provided on the repository's website. You may also contact us at [email protected] for inquiries about using data from the repository.