Machine Learning Fundamentals · Supervised learning

Decision trees

A model that predicts by asking a sequence of yes/no questions about the input, like a flowchart.

Also known as: CART, tree splits.

Start a lesson on Decision trees

Learn first

• Types of ML problems: The basic split between supervised (labeled examples), unsupervised (no labels), and reinforcement learning.

Leads to

• Ensemble methods: Combining many weak models (usually trees) into one stronger one, either by averaging (bagging) or correcting each other's mistakes in sequence (boosting).

Related topics

• Ensemble methods: Combining many weak models (usually trees) into one stronger one, either by averaging (bagging) or correcting each other's mistakes in sequence (boosting).