AI/ML

Cross-validation

Definition

A statistical method used to estimate the performance of machine learning models by partitioning data into subsets, training on some and testing on others.

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About Cross-validation

Cross-validation is an important concept in ai/ml. Understanding Cross-validation is crucial for professionals working with modern technology solutions. This definition provides a comprehensive overview of what Cross-validation means and how it's used in practice.

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