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Has anyone achieved the accuracy in the paper through the recurrence model?

Open SaulZhang opened this issue 6 years ago • 5 comments

Can the author publish a detailed data set partitioning method or publish a final prediction model?

SaulZhang avatar Apr 06 '19 09:04 SaulZhang

image This is the result of my experiment. I divide the dataset with train:test=100k:100k, the same as the paper. But it seems that the performance is pretty poorer than the paper's.

SaulZhang avatar Apr 06 '19 09:04 SaulZhang

However, it is worth noting that although my experimental results are generally worse than the original one, the above items in data set "Weather" are superior to the original ones. Why is this happening?

SaulZhang avatar Apr 06 '19 09:04 SaulZhang

My result is also poor

Doylegyf avatar Apr 20 '19 08:04 Doylegyf

so do I

zhqx511 avatar May 06 '19 03:05 zhqx511

image This is the result of my experiment. I divide the dataset with train:test=100k:100k, the same as the paper. But it seems that the performance is pretty poorer than the paper's.

Did you just divided the ccpd_base into 100k:100k and not diveded other subdata? And your recognition precision is larger than detection precision, how did you calculate the recognition and detection precision

yangdaxia6 avatar May 22 '19 03:05 yangdaxia6