Instance-based learning

Sat, 18 Jul 2026 10:02:49 +0000

Definition

Also known as memory-based learning, this technique does not build a generalized model during training. Instead, it stores the entire training dataset. When a prediction is needed, it finds the most similar instances (neighbors) in the stored data and uses their labels to determine the output. K-Nearest Neighbors (KNN) is the most common algorithm in this category.

Summary

A lazy learning approach where predictions are made by comparing new inputs to stored training instances.

Lazy Learning on English AI Terms Dictionary

Instance-based learning

Definition

Summary