Home > Artificial Intelligence > Machine Learning > Datasets > DELVE - Data for Evaluating Learning in Valid Experiments
DELVE - Data for Evaluating Learning in Valid Experiments
http://www.cs.utoronto.ca/~delve/Data for Evaluating Learning Valid Experiments: A standardized environment designed to evaluate the performance of methods that learn relationships based primarily on empirical data. Delve makes it possible for users to compare their learning methods with other methods on many datasets.
Submitted in section: Artificial Intelligence: Machine Learning: Datasets: DELVE - Data for Evaluating Learning in Valid Experiments