Stacking.md (577B)
1 # Stacking 2 3 ML D5 4 5 **Definition:** Stacking is the idea that we should create a dedicated model to act as a voting machine for an ensemble of predictive models. 6 7 This is in contrast with soft and hard voting which does simple calculations to determine the output based on inputs from the outputs of predictors (I know lots of words). 8 9 This models that does the final prediction is called a blender or meta learner and through the process of blending gives and output. 10 11 A good way to do this is by training the model on the outputs of out of sample data for all prior models.