Supervised machine learning is a subfield of machine learning (ML) that deals with constructing models from as a way to predict the outcomes for unseen data.
A labeled data set consists of a set of examples which were “tagged” or labeled with the proper output. On this regard, supervised learning might be in comparison with learning from a teacher that gives a set of examples with the proper answers.
For instance, we are able to use supervised learning to construct a spam filter by learning from a considerable amount of emails which were…
