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Cross-Validation

AI/ML Fundamentals

Validating on multiple data splits

What is Cross-Validation?

K-fold CV splits data into K parts, trains on K-1, validates on 1, repeats K times. More reliable than single split.

Real-World Examples

  • •5-fold cross-validation
  • •10-fold for small datasets
  • •Leave-one-out CV

When to Use This

For robust performance estimation with limited data

Related Terms

Learn more about concepts related to Cross-Validation

Validation

Evaluating model performance during training

Overfitting

Model learns training data too well, performs poorly on new data

Training

Process of teaching an ML model using data