Decision Tree in Machine Learning

Updated on August 19, 2025 | By Learnzy Academy

A Decision Tree is a machine learning algorithm used for both classification and regression tasks. It works by dividing the data into smaller parts based on certain rules, forming a tree-like structure.

You can think of it as a flowchart for decision-making:

  1. It begins with a question at the top (called the root).
  2. Based on the answer (Yes/No or multiple options), it follows a branch.
  3. At each step, a new question is asked.
  4. Finally, it ends at a leaf node, which gives the outcome (for example, "Pass" or "Fail").
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List of question on "Decision Tree"

  1. What are some real-world applications of Decision Trees?
  2. What is the difference between Decision Tree and Random Forest?
  3. Predict if a student will Pass or Fail based on study hours and sleep hours using Decision Tree algorithm.