A simple classifier...does it work?

Question

wolss 2019-7-1

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/469718-a-simple-classifier-does-it-work

评论： wolss 2019-7-2

Hi, I've just trained a Pattern Recognition Neural Network, that has to classify if there's or not a subject.

I gave it a target constituted by binary values organized in two columns that I had subsequently transposed to make it compatible with the network.

I also gave the network a dataset, constituted by n raws (signals) and m columns (samples), that I had to transposed for the same reason.

I choose a Hidden Size of 100, a validation checks of 50 and I obtained the results shown in attached figure, as gradient, performance, confusion, ROC and so on...

Can someone tell me if it works well or not?

Thank you, regards

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Himanshu tripathi 2019-7-2

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/469718-a-simple-classifier-does-it-work#answer_381625

Yes, looking at the results it seems fine !

2 个评论
显示无隐藏无

wolss 2019-7-2

How can I justify the convergence due to validation checks? I mean.. we have usually the net convergence thanks to the reachment of the minimum gradient. In this case the gradient is not so low, as the performance, but we have anyway very good results, and so.. how can I justify the well working of the net even if I don't have a so good gradient?

Hope I've made myself clear...

Thank you anyway!

wolss 2019-7-2

I've another question for this answer... This pictures I've loaded on represent the net functioning (patternnet) with 10240 signals (and 512 samples). I've tried to do the same thing with 22528 signals (always with 512 samples for each one) but the net does not work so well.... Unfortunately it reaches at most 80%. How can I explain this?

请先登录，再进行评论。