- Closed-loop error: Test on the same data that was used to train the
- Open-loop error: Test on a held-out set.
- Cross-validation: Divide the data into various train and held-out
sets and average the open loop error of each train and held-out set.
- Tree averaging: Build multiple trees using cross-validation
and average the parameters of the trees