machine-learning
K-fold cross-validation
taught
Rotating which fold serves as validation across k rounds, averaging the result into a more reliable performance estimate.
Taught in
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K-fold cross-validation
Modern Machine Learning
Requires
- validation-set-weaknesses required
Required by
- Cost-complexity pruning required
- Grid search and random search required
- Nested cross-validation required
- Stratified k-fold cross-validation required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.