What Are Attribute Selection Measures For Decision Tree?
Table Of Contents:
- What Are Attribute Selection Measures For Decision Tree?
What Are Attribute Selection Measures For Decision Tree?
- Attribute selection measures (ASMs) are criteria or metrics used in decision trees to determine the best attribute (or feature) to split the dataset at each node.
- The goal of these measures is to create pure child nodes by reducing uncertainty or impurity in the data, thereby improving the tree’s decision-making ability.
