Supervised Learning: Partition Methods
Basically, supervised learning is what statisticians do almost all the time. The “supervision” refers to the fact that the Y is are available, in contrast to unsupervised learning, the topic of Chapter 8, where Y is are assumed unavailable. The term “learning” is used in a heuristic sense to mean any inferential procedure that can, in principle, be tested for validity. Having measurements on Y available means that model identification, decision making, prediction, and many other goals of analysis can all be validated.
KeywordsSupport Vector Machine Support Vector Feature Space Random Forest Singular Value Decomposition
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