Supervised Learning

A subset of machine learning in which the model is trained on labeled input data with known desired outputs. These two groups of data are sometimes called predictors and targets or independent and dependent variables respectively. This type of learning is useful for classification or regression. The former refers to training an Al to group data into specific categories and the latter refers to making predictions by understanding the relationship between two variables.