Machine Learning
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Cross-Validation
Quick Definition
Evaluating model performance with multiple data splits
Full Definition
A statistical technique evaluating model performance by partitioning data into multiple training and validation folds.
Examples
k-fold validation, stratified sampling, hyperparameter tuning
Related Terms
model-evaluation
hyperparameter-tuning
More Machine Learning Terms
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Learning from labeled training data with input-output pairs
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