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Miss Rate - Perfomance Query #5

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Tar12 opened this issue Sep 8, 2016 · 1 comment
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Miss Rate - Perfomance Query #5

Tar12 opened this issue Sep 8, 2016 · 1 comment

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@Tar12
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Tar12 commented Sep 8, 2016

Hello! Thank you for making this great code available!

Why is running the training code gives ~10 MR (I get 10.03), but the paper claims 9.6? Are there any differences in the paper vs. github implmentation? Are the RPN networks used the same, so that maybe just the random seed in BF is the cause, or is there something else? Thanks!
@zhangliliang
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Hi, @Tar12
Thanks for your trying.

Actually there are some variances on the performance due to the random seed. Thus, it is reasonable to obtain ~10 MR after running.

@gaopeng-eugene gaopeng-eugene mentioned this issue Nov 14, 2016
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@zhangliliang @Tar12