Explain the resampling cases.

Resampling is done in any of these cases:

1. Estimating the accuracy of sample statistics by using subsets of accessible data or drawing randomly with replacement from a set of data points
2. Substituting labels on data points when performing significance tests
3. Validating models by using random subsets (bootstrapping, cross-validation)