Surrogate Model in machine learning is an approximation model that mimics the behavior of a complex, often computationally expensive, simulation model. It's used when running the actual model is impractical due to resource constraints.
Utilizing Surrogate Models
Surrogate models are common in optimization and engineering design, where they can significantly reduce computation time. They're also used in model interpretability, to approximate complex models with simpler, more understandable ones.
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