You are using Bootstrapping to estimate the confidence interval for a model parameter. Explain how the process works.
- By calculating the mean and standard deviation without resampling
- By randomly selecting without replacement from the dataset
- By resampling with replacement and calculating empirical quantiles of the distribution
- By splitting the data into training and validation sets
Bootstrapping to estimate the confidence interval for a model parameter involves resampling with replacement from the original data, calculating the parameter for each resampled dataset, and then determining empirical quantiles of the parameter's distribution. It allows the estimation of confidence intervals even when the underlying distribution is unknown.
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