In supervised learning models supervisor is the target variable, a column in the data representing values to predict from other columns in the data. The target variable is chosen to represent the answer to a question the organisation would like to answer or a value unknown at the time the model is used that would help in a decision. Sometimes, supervised learning is also called predictive modelling.
The primary predictive modelling algorithms are-
- Classification for categorical target variables
- Regression for continuous target variables
Machine Learning Algorithms-
Unsupervised learning, sometimes called Descriptive Modelling, has no target variable. The inputs are analysed and grouped, or clustered, based on the proximity of input values to one another. Each group or cluster is given a Label to indicate which group a record belongs to.