Model selection and validation Flashcards
1
Q
What is Model selection? What are the 2 approaches and their basic idea?
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2
Q
What is Validation?
What if the validation set size V is large?
How it is validation compared to VcDim?
How to use Valdidation for model selection?
What Model-Selection Curve shows?
What we do if we have more than one hyperparameter?
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3
Q
How can we estimate the true risk after model selection?
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4
Q
How k cross validation works? And why is used? K-fold cross algorithm.
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5
Q
How to improve a model (what if learning fails)?
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