Related Read: Decision Tree Classification: Everything You Need to Know Decision Tree in MLīy representing a few steps in the form of a sequence, the decision tree becomes an easy and effective way to understand and visualize the possible decision options and the potential outcomes from the range. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career. Depending upon these predictor variables, try to predict the so-called response variable.Įnrol for the Machine Learning Course from the World’s top Universities. In a decision tree, we have several predictor variables. The internal nodes of the trees represent a test or a question on an attribute each branch is the possible outcome of the question asked, and the terminal node, which is also called as the leaf node, denotes a class label. It is like a flowchart but having a structure of a tree. Let us understand this in detail with the help of a few decision tree examples.Ī decision tree is one of the popular as well as powerful tools which is used for prediction and classification of the data or an event. Decision trees are usually used to find a solution for a problem which gets complicated to solve manually. The branch at the end of the decision tree displays the prediction or a result. The branches in the diagram of a decision tree shows a likely outcome, possible decision, or reaction. To Explore all our certification courses on AI & ML, kindly visit our page below. Master of Science in Machine Learning & AI from LJMUĮxecutive Post Graduate Programme in Machine Learning & AI from IIITBĪdvanced Certificate Programme in Machine Learning & NLP from IIITBĪdvanced Certificate Programme in Machine Learning & Deep Learning from IIITBĮxecutive Post Graduate Program in Data Science & Machine Learning from University of Maryland
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |