Looking into the synergy of machine learning algorithms and sampling methods using simulations. --- - Took tree algorithms for example. - Sampling methods promote the result of tree algorithms when not ensembled. When it comes to ensembled ones, sampling methods might introduce or ease the overfitting situation.