How to combine two or three feature extraction methods?

Question

I want to combine two feature extraction methods and classify in python.I am using sklearn.But the accuracy is not improved.What is wrong?How to combine two numpy arrays of feature extraction methods to improve accuracy?Please answer the way to combine in order to improve accuracy.Thanks in advance!

Can you show us the code you used? – moe asal Jun 06 '20 at 07:47 — moe asal, Jun 06 '20 at 07:47

score 0 · Answer 1 · answered Jun 06 '20 at 07:53

0

It's not necessary that every time you add a new feature, the accuracy of your model increases. So, it is necessary that you set up local cross-validation. Data science is all about experimenting. The more you experiment, the better results you might get.

answered Jun 06 '20 at 07:53

paradocslover

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I use cross-validation,StratifiedShuffleSplit. – pann Jun 06 '20 at 09:26
I will suggest you use `StratifiedKFold`. For the difference and utility, check out this post - https://stackoverflow.com/q/45969390/8293309 . – paradocslover Jun 06 '20 at 09:33

How to combine two or three feature extraction methods?

1 Answers1