A classification method for building decision trees with information gain.
ID3 is like a speed round of 20 Questions. It picks the question with the cleanest split first.
It turns a table into if-then sorting rules. You meet it in simple risk checks and surveys.
Decision Tree
ID3 trains a decision tree by choosing each split question.
Information Theory
ID3 uses entropy and information gain to pick the best question.
Classification
ID3 is used for classification. It puts examples into fixed classes.
Supervised Learning
ID3 learns from labeled data. So it belongs to supervised learning.