Benchmarking
Definition
Benchmarking helps in assessing model performance through standardized tests, enabling comparisons across different models or algorithms for optimization purposes in machine learning practices.
When Benchmarking is used
Model evaluation metrics
Which positions need this?
Data Scientists
Problem
Uncertainty about model effectiveness compared to others.
Example of how Benchmarking is used in AI
A data scientist benchmarks their new model against industry standards to ensure it meets performance expectations before deployment.
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