ID3 algorithm

The ID3 algorithm is a method used in machine learning to help computers make decisions by creating a decision tree. It does this by analyzing data to find the most important questions that split the data into groups with similar outcomes. At each step, it chooses the question that best reduces uncertainty or disorder, using a measure called information gain. This process continues until the data is well-organized or no further useful questions can be found. The resulting decision tree can then be used to predict outcomes for new data based on the answers to the questions.