Pasting.md (401B)
1 # Pasting 2 3 ML D5 4 5 **Definition:** Pasting is the process of training multiple models of the same type on subsets of a dataset. This is different than bagging as pasting removes selected samples of the current subset subset from the current predictors options. This means the same predictor (model) can't be trained on the same sample twice, but different predictors may use some of the same samples.