c se 546 wi 12 linear regression
TRANSCRIPT
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V11?D,' e-;- 0,+,.-;,8 G.2D 8*1;.*L?J2+D(X,Y)A hypothesis spaceH
e,j+,',..2.1 G2. NEF2;N,1*1 h H Training error: errortrain(h) Data (true) error: errortrue(h)
We say hoverfitsthe training data if there existsan hH such that:
errortrain(h) < errortrain(h)and
errortrue(h) > errortrue(h)
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little data infinite data
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Be careful!!!
Test set only unbiased if you never never ever ever
do any any any any learning on the test data
For example, if you use the test set to selectthe degree of the polynomial"no longer unbiased!!!
(We will address this problem later in the semester)
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