Regression

How it is used

Contrasted with classification, which predicts categories. Linear regression and logistic regression are classic models, although logistic regression is actually used for classification. Regression quality is measured with error metrics such as MAE or RMSE.

Example sentences

1. Predicting delivery time is a regression problem, not a classification one.

2. A simple linear regression was our baseline, and the neural network beat it by only 4%.

Common collocations

• linear regression
• logistic regression
• regression model
• regression task

Related terms

• 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.
• supervised learningA type of machine learning in which the model learns from examples that come with correct answers (labels), so that it can predict the answer for new examples.
• loss functionA formula that measures how far a model's predictions are from the correct answers. Training tries to make this value, called the loss, as small as possible.
• modelThe result of training: a program with learned parameters that takes an input, such as an image or a sentence, and produces an output, such as a label, a number or a text.

This word in other fields

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

• regression · Software Engineering
• regression · Data Science & Analytics
• regression · Statistics

More terms: Machine Learning Basics

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