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Evaluation class: stats() number of "examples" actually refers to number of predictions/labels #4674

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AlexDBlack opened this issue Feb 19, 2018 · 2 comments

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commented Feb 19, 2018

Examples labeled as 0 classified by model as 0: A times
Examples labeled as 0 classified by model as 1: B times
Examples labeled as 1 classified by model as 0: C times
Examples labeled as 1 classified by model as 1: D times

Note that if we have 10 sequences, length 100, then A+B+C+D=10x100 = 1000, which is correct, in terms of the count.
However, it's misleading/confusing to call these "Examples". Perhaps "Predictions labeled as..." would be more correct (or less misleading).

AlexDBlack added a commit that referenced this issue Feb 27, 2018
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commented Feb 27, 2018

@AlexDBlack AlexDBlack closed this Feb 27, 2018

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commented Sep 23, 2018

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.

@lock lock bot locked and limited conversation to collaborators Sep 23, 2018

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