Baseline Machine Learning
noun
Definition: A reference model or reference performance level used to compare the performance of another (usually more complex) model on the same task [Google ML Glossary].
Example in context: “We show TuRBO as a baseline and refer to HEBO with all significant components removed as BO Base.” [Cowen-Rivers et al. 2022]
Synonym: baseline model
Related terms: reference model, benchmark, comparison standard