ML-Schema offers a standardized format for machine learning components.
problem Lack of interoperability and interpretability in machine learning experiments.
method Developed a top-level ontology with classes, properties, and restrictions.
result ML-Schema enables better interoperability and interpretability of machine learning experiments.