Explain the concept of bootstrapping in model evaluation.

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2024-01-20 10:49:54 -

Bootstrapping is an effective method of statistical resampling that is widely used in the evaluation of models to assess the reliability and stability of predictive models' performance metrics. It is derived from the phrase "pulling oneself up by the bootstraps," this technique involves sampling data repeatedly with substitution to produce several subsets to train or test the...

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