ML model hyperparameters

metric

ML-R1.6-01M: Metadata describes ML model hyperparameters.

Principle: R

Rationale: Since hyperparameters control the learning process of an ML model, they are important in the context of its reusability. This is a disciplinary requirement.

FAIR Metrics: R1.6

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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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