Resampling methods involve repeatedly drawing samples from a training set and refitting a model of interest on each of these samples.
Two of the most commonly-used resampling methods are Cross Validation and Bootstrapping.
Resampling methods involve repeatedly drawing samples from a training set and refitting a model of interest on each of these samples.
Two of the most commonly-used resampling methods are Cross Validation and Bootstrapping.