ABSTRACT
The goal of supervised learning is for a computer to process a set of data whose attributes have been divided into two groups and derive a relationship between the values of one and the values of the other. These two groups are sometimes called predictor and targets, respectively. In statistical terminology, they are called independent and dependent variables, respectively. The learning is "supervised" because the distinction between the predictors and the target variables is chosen by the investigator or some other outside agency (e.g., a data mining process.)
