ML model type

metric

ML-R1.3-01M: Metadata includes information about ML model type. Test: 1) The model type is described. 2) The complexity of the learning algorithm is explained. 3) The limitations of the algorithm are mentioned.

Principle: R

Rationale: Information about the ML model type is deemed important towards the better understanding and easier reuse of an ML model. This is a disciplinary requirement.

FAIR Metrics: R1.3

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FAIR for Machine Learning Models

This rubric consists of assessment metrics that evaluate the FAIR maturity of ML models. The metrics...

FAIR machine learning model FAIR assessment NFDI4DataScience

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