Data and feature engineering · MLD-1225
Test set
Data reserved for estimating performance after model and configuration choices are fixed.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Evaluate the final selected model once.
Original caveat
Using test results to tune turns the test into development data.
Context and aliases
Level: Foundational. Stages: Data · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: Holdout test set.
Related concepts
Concepts linking here
Original references
- scikit-learn: cross-validation ↗ · Reference link
- scikit-learn: missing-value imputation ↗ · Reference link
- scikit-learn: preprocessing ↗ · Reference link
- scikit-learn: feature selection ↗ · Reference link
- Original reference URL ↗