Decision Trees Articles

Anthony Corbo

Updated on June 03, 2025

A decision tree is a supervised machine learning algorithm that recursively splits data into branches based on feature values to predict an outcome.

Mitchell Telatnik

Updated on May 28, 2025

Follow along with this machine learning for beginners tutorial, which walks through the basics of classification and regression algorithms and how to build a machine learning model in Weka.

Afroz Chakure

Updated on March 20, 2025

A classification tree is a type of decision tree used to predict categorical or qualitative outcomes from a set of data observations.

Alex Zelinsky

Updated on February 24, 2025

A full tree is a tree where every node has either zero or two children. This means that all of the nodes in the tree are either leaf nodes or internal nodes.

James Le

Updated on December 17, 2024

A machine learning algorithm is a set of instructions that machines follow to complete tasks, particularly those involving identifying patterns and making predictions. These are the top machine learning algorithms beginners should know.

Parag Radke

Updated on October 24, 2024

Monte Carlo tree search (MCTS) is a heuristic search algorithm for decision processes. Here’s what you need to know.

Judah Taub

Updated on October 22, 2024

It’s all about asking the right questions.

Jacob Biba

Updated on July 18, 2024

Machines are using the abundance of today's data to learn just like humans do.

Artem Oppermann

Updated on April 06, 2023

CatBoost is a machine learning gradient-boosting algorithm that’s particularly effective for handling data sets with categorical features. Our expert explains how CatBoost works and why it’s so effective.

Vihar Kurama

Updated on March 15, 2023

What is machine learning? How does it work? How much math is involved? An engineer breaks it all down.