Results for tag: "Decision Tree Learning"

Decision Tree Learning is a type of Machine Learning and Data Mining technique used to create models that can predict outcomes based on certain input data. It is a supervised learning technique that uses a tree-like structure to represent decisions and their possible outcomes. The tree is built by splitting the data into smaller and smaller subsets, and then using a decision rule to determine which subset should be used for the next split. The final tree is then used to make predictions about new data. Decision Tree Learning is used in a variety of industries, including finance, healthcare, and retail. It is used to make predictions about customer behavior, identify trends in data, and optimize marketing campaigns. Some companies in the Decision Tree Learning market include Microsoft, IBM, Oracle, SAP, and SAS. Show Less Read more