ákvörðunartréum
ákvörðunartréum is the Icelandic word for decision trees, a fundamental concept in machine learning and data mining. A decision tree is a supervised learning algorithm that can be used for both classification and regression tasks. It works by recursively partitioning the data into smaller and smaller subsets based on the values of input features. The structure of a decision tree resembles a flowchart, with internal nodes representing tests on attributes, branches representing the outcomes of those tests, and leaf nodes representing the final decision or prediction.
The process of building a decision tree involves selecting the best feature to split the data at
Decision trees are popular due to their interpretability and ease of visualization. They can handle both numerical