About this document
Decision Tree Splitting Criteria by omsonawane15203 is a document available to read on EtoBox.
The document discusses the ID3 decision tree algorithm. It describes the key steps of ID3 as 1) selecting the best attribute to split on using metrics like entropy or Gini index, 2) creating decision nodes based on the selected attribute, 3) splitting the data, and 4) recursively repeating on the subsets. It stops when reaching a stopping condition like pure subsets or no more attributes.
- Author
- omsonawane15203
- Language
- EN