ID3 (Iterative Dichotomiser 3)

ID3 (Iterative Dichotomiser 3) is a machine learning algorithm used to create decision trees for classification tasks. It works by analyzing data and selecting the most informative features to split the data into groups, aiming to maximize the purity of each resulting group. The process involves calculating a measure called information gain to determine the best feature at each step, helping to build a tree that can predict outcomes based on input data. ID3's goal is to simplify complex data into a clear, rule-based structure for accurate decision making.