Supervised Learning

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What is Supervised Learning?

Supervised learning is the common approach when you have a dataset containing both features (x) and target (y) that you are trying to predict (see
labeled examples). You apply an algorithm (e.g. gradient boosting machines, deep neural networks) to approximate a function (f) that best maps inputs (x) to an output variable (y).

 

Here are the supported supervised learning tasks in H2O-3 and H2O Driverless AI:

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