Hanamaru 日本語にほんご × ML/AI
← All topics

Core Machine Learning Topics

Regression

回帰かいき

Regression is a supervised-learning task that estimates a continuous value for a target variable. It is used when the desired output is numerical rather than a category.

Japanese terms

  1. Regression — 回帰かいき: A supervised-learning task that estimates a continuous numerical target.
  2. Continuous value — 連続値れんぞくち: A numerical value that can vary across an interval rather than belonging to a discrete class.
  3. Target variable — 目的変数もくてきへんすう: The outcome that a supervised model is trained to predict.

Classification is the corresponding foundational task for discrete outputs.