Random Forest is an ensemble technique that builds multiple:

  • Decision trees
  • Linear regression models
  • Neural networks
  • Support vector machines
Random Forest is an ensemble method that builds multiple decision trees. These decision trees are used to make predictions and are combined to create a more accurate and robust model. Random Forest is known for its ability to reduce overfitting and provide reliable predictions, making it a popular choice in machine learning.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *