machine-learning
The validation-set approach and its weaknesses
taught
A single held-out validation split, and its two named weaknesses -- high variance and pessimistic bias.
Taught in
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The validation-set approach and its weaknesses
Modern Machine Learning
Requires
- features-samples-and-data-splits required
Required by
- K-fold cross-validation required
Local knowledge map
Local knowledge map
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