Databases For Machine Learning Experiments

An experiment database is a database designed to store learning experiments in full detail, aimed at providing a convenient platform for the study of learning algorithms.

By submitting all details about the learning algorithms, datasets, experimental setup and results, experiments can be easily reproduced and reused in further studies.

By querying and mining the database, it allows easy, thorough analysis of learning algorithms while providing all information to correctly interpret the results.

To get a first idea, watch the video tutorial (updated!) of our explorer tool. Or start querying online by looking at some examples!