October 2017
Beginner to intermediate
572 pages
26h 1m
English
Ensemble learning means using multiple learning algorithms so that we can predict better. We created a vector of different models we want to ensemble. We used that vector in Super Learner in SL.Library. Super Learner will provide the risk and coefficient for all the models. Using .cv we get V fold cross validated risk for Super Learner, which can be easily plotted to see the risk estimate of all the modes.
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