Study Note: Resampling Methods - Cross Validation, Bootstrap
Resampling methods:involve repeatedly drawing samples from a training set and refitting a mode of interest on each sample in order to obtain additional information about the fitted model. model assessment：the process of evaluating a model’s performance model selection：the process of selecting the proper level of flexibility for a model cross-validation: can be used to estimate the test error associated with a given statistical learning method in order to evaluate its performance, or to select the appropriate level of flexibility. bootstrap:provide a measure of accuracy of a parameter estimate or of a given selection statistical learning method. ...