a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).
Fitting data too closely or exactly to a particular dataset, and may therefore fail to fit unseen data
the conflict in trying to simultaneously minimize these two sources of error that prevent supervised learning algorithms from generalizing beyond their training set
Support vector machine
Analyze data used for classification and regression analysis
a flowchart-like structure in which each internal node represents a "test" on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label, the paths from root to leaf represent classification rules.