Question: In the context of modeling types, supervised learning is called classification when the target variable is continuous. an unlabeled dataset is used to develop an

In the context of modeling types, supervised learning is called classification when
the target variable is continuous.
an unlabeled dataset is used to develop an algorithm.
a testing dataset is used to evaluate the final selected algorithm.
the target variable is categorical.
In the context of modeling types, supervised learning is called classification

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