Decision trees

A decision tree is a prediction model used in the artificial intelligence field. Using a database, logical constructions are developed that represent and categorize a series of conditions that successively occur to resolve a problem.

A decision tree has entry points that can be either an object or a situation described via a group of attributes; a response is returned taking those entry points into account.

The values of the entry points and exits can be either discrete or continuous values. For simplicity reasons, discrete values are more common. When discrete values are used in an application’s function, it’s called classification; when continuous values are used, it’s called regression.

Sentinel’s decision trees perform a test as it follows the leaves to reach a decision.