How to Prevent Overfitting Ways to prevent overfitting include cross-validation, in which the data being used for training the model is chopped into folds or partitions and the model is run for ...

We must also confront the challenges of overfitting and underfitting. It is useful to illustrate with an example. In Figure 1 you can see some observed data, where x is the input and y is the output.