Data and feature engineering · MLD-1293
Validation set
Data used to select configurations and monitor training without directly fitting ordinary weights.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Choose the best checkpoint using validation loss.
Original caveat
Repeated tuning can overfit the validation set.
Context and aliases
Level: Foundational. Stages: Data · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: Development set · dev 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 ↗