Information Criteria & Cross Validation

A problem of predictive models is overfitting. This happens when the model is too responsive and picks up trends that are due to quirks in a specific sample, and not reflective of general, underlying trends in the data process. The result is a model that doesn't predict very well. A model can be made less responsive by regularization--i.e.… Continue reading Information Criteria & Cross Validation