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Suppose you have m = 10 sample points in training set, and you set your hypothesis space to be polynomial functions up to degree

 

Suppose you have m = 10 sample points in training set, and you set your hypothesis space to be polynomial functions up to degree 10. Then, if your training error can be zero ? In case you have m = 8 training samples, and still set above hypothesis space, then what happens to your training error?

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