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Old 09-16-2012, 08:43 AM
DavidNJ DavidNJ is offline
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Default Binary Classification Error

Is the binary classification the F-score or just h(x) ≠y? In the one vs. all classifications, some of the positive classifications are half the size of others (e.g. 5 in train is 7.4%, 0 in test is 17.9%). The simple comparison can miss a huge error in false negatives.
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Old 09-16-2012, 09:47 AM
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yaser yaser is offline
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Default Re: Binary Classification Error

Quote:
Originally Posted by DavidNJ View Post
Is the binary classification the F-score or just h(x) ≠y?
The binary classification error is indeed [[h({\bf x})\ne y]].
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