About this document
Understanding Decision Tree Classification by Karuna Salgotra is a document available to read on EtoBox.
The Decision Tree Classification Algorithm is a supervised learning technique primarily used for classification problems, structured as a tree where nodes represent features and outcomes. It employs methods like Information Gain, Gini Index, and Chi-Square for attribute selection to build the tree, which is constructed by recursively splitting nodes based on the best attributes. The algorithm is intuitive and mimics human decision-making, making it easy to understand and interpret.
- Author
- Karuna Salgotra
- Language
- EN