Cross-Validation

Entity Type: Glossary ID: cross-validation

Definition: A resampling technique used to assess how well a machine learning model will generalize to independent data. It involves partitioning data into complementary subsets, training on one subset and validating on another, then repeating the process.

Related Terms: - model-evaluation - k-fold-cross-validation - generalization - train-test-split

Source Urls: - https://en.wikipedia.org/wiki/Cross-validation_(statistics)

Tags: - foundational - machine-learning - model-evaluation

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31