Machine Learning

Bagging and Random Forest Ensemble Algorithms for Machine Learning

Last Updated on August 15, 2020

Random Forest is one of the most popular and most powerful machine learning algorithms. It is a type of ensemble machine learning algorithm called Bootstrap Aggregation or bagging.

In this post you will discover the Bagging ensemble algorithm and the Random Forest algorithm for predictive modeling. After reading this post you will know about:

  • The bootstrap method for estimating statistical quantities from samples.
  • The Bootstrap Aggregation algorithm for creating multiple different models from a single training dataset.
  • The Random Forest algorithm that makes a small tweak to Bagging and results in a very powerful classifier.

This post was written for developers and assumes no background in statistics or mathematics. The post focuses on how the algorithm works and how to use it for predictive modeling problems.

If you have any questions, leave a comment and I will do my best to answer.

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