Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles

Understand

Machine learning (ML) is an increasingly important scientific tool supporting decision making and knowledge generation in numerous fields.

• With this, it also becomes more and more important that the results of ML experiments are reproducible.
• Unfortunately, that often is not the case.
• Rather, ML, similar to many other disciplines, faces a reproducibility crisis.