Cross-Validation

Browse all content tagged with Cross-Validation

Glossary

Cross-Validation

Cross-validation is a statistical method used to evaluate and compare machine learning models by partitioning data into training and validation sets multiple times, ensuring models generalize well to unseen data and helping prevent overfitting.

AI Machine Learning Model Evaluation +2
• 5 min read

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