Definition
Supervised machine learning (also supervised learning) is
| “ | a type of machine learning algorithm that uses a known data set (called a training data set) to make predictions. The training dataset includes input data and response values, and the algorithm seeks to build a model from these data points and make predictions of the response values for a new dataset.[1] | ” |
| “ | [a]n approach to machine learning which relies on training data that has been labelled, often by a human. A label could be a categorisation into one or more groups: this is known as classification.[2] | ” |