Model selection and training/validation/test sets
Model selection and training/validation/test sets
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Choose which features to include
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Choose the right value for lambda
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These are what discussed in "mode selection"
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Overfitting really not a good example for predicting the future examples
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Suppose we choosing which parameters and which degree of polynomials
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Here's what it works
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it could determine how well and generalized the value of d
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test each d by using jtest(theta) , inject the parameters into the Jtest
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choosing whichever has the lowest error value
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Still not a good point for generaliz e the parameters
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Perhaps is the best, but not always the generalize. May tends to be overfitting.
