Supervised learning

How it is used

Used to describe both a type of problem and a method. Classification and regression are the two main supervised tasks. In practice the biggest cost is getting enough labeled data.

Example sentences

1. Fraud detection is usually framed as a supervised learning problem, with past fraud cases as labels.

2. Without labeled data, we can't use supervised learning here.

Common collocations

• supervised learning task
• supervised learning problem
• supervised model
• self-supervised learning

Related terms

• unsupervised learningA type of machine learning that finds structure in data without correct answers (labels), for example grouping similar customers or spotting unusual events.
• labelThe correct answer attached to a training example, such as 'spam' for an email or 'cat' for a photo, which a supervised model learns to predict.
• classificationA task in which a model puts each input into one of a fixed set of categories, for example deciding whether an email is spam or which product category a photo shows.
• regressionA task in which a model predicts a number on a continuous scale, such as a house price, a delivery time or tomorrow's temperature.

This word in other fields

The same English word can have a different meaning in another field:

• supervised learning · Software Engineering

More terms: Machine Learning Basics

• artificial intelligence
• machine learning
• model
• reinforcement learning
• clustering
• state-of-the-art