Supervised training

Concept and definition

Supervised training

What is Supervised training?

Supervised training is a type of Machine Learning (like unsupervised learning and reinforcement learning) in which the output is used during the algorithm.

Depending on whether the output is a class (e.g., non-payment or non-payment) or numerical (e.g., electricity consumption) the problems to be solved are divided into classification or regression, respectively.

They are typical for case-based learning, where it is easy to think that similar data samples lead to similar output. Some methods using this type of training is LVQ and its variants. 

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