Closed Song-xx closed 6 years ago
Probably not. Some people have already pointed out that gcForest does not always perform better or significantly better than cnn and xgboost (see discussino here : https://github.com/Microsoft/LightGBM/issues/331#issuecomment-307401782 )
How much accuracy do you get on the MNIST dataset?
_,so...I reply the email, and it reply on the github,it looks intersing...
I try three times,that means I used three groups of parameters,best accuracy of gcforest on mnist is 83%..which cost 3 hours to train. for cnn,99% in 1 hour.
@fresh2tensorflow I am not so surprised about the accuracy if you used gcForest out of the box. Have you tried to replicate the architecture from the paper ? (i.e. 1000 trees per forest, 2 forests of each type, etc.) Actually if you could share the parameters you used that could be valuable information for future users.
Did you also build your own ConvNet or was it an existing code ?
thank you for your reply :)
(1)the first question: I didn't do it..I will try it then
(2)the second question:I use the convnet of the demo in the official tensorflow tutorial.It is a very simple convnet with just 2 conv-layer and 1 dense layer..I think 99.2% is not a bad result,so I didn't
tune the parameter to get a better result..
At 2017-06-17 18:22:54, "Pierre-Yves Lablanche" notifications@github.com wrote:
@fresh2tensorflow I am not so surprised about the accuracy if you used gcForest out of the box. Have you tried to replicate the architecture from the paper ? (i.e. 1000 trees per forest, 2 forests of each type, etc.) Actually if you could share the parameters you used that could be valuable information for future users.
Did you also build your own ConvNet or was it an existing code ?
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@fresh2tensorflow Try to use a subsample only so you can train faster and check performance difference faster.
Example on MNIST 1k samples:
@Laurae2 I get it,thank you. :)
Thanks @Laurae2 ! Btw have you seen this : https://arxiv.org/pdf/1705.07366.pdf
@fresh2tensorflow Would you mind sharing your results on the (mini) MNIST dataset? I'm curious to know what you get!!!
@pylablanche oh,I am sorry, I didn't try the algorithm on a mini MNIST.. I think it is a good idea when exploring the data.. and then I try the the gcforest with parameter(1000 trees per forest, 2 forests of each type),its accuracy didn't improve much..
but why my result show that the gcforest is not so powerfull when compared with cnn and xgboost,am I wrong somewhere?