How to determine the best training examples from a dataset for NN training?

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TS Sharma 2014-12-21

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评论： TS Sharma 2014-12-21

Hi!

Neural network classification accuracy is strongly dependent on the choice of training samples. k-fold cross-validation and then averaging does not seem a good option to me. It's sometimes like teaching a kid simple things and taking an exam on the difficult problems. How can one decide the best training samples for training an NN?

Thanks in advance.

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Answer 1

Greg Heath 2014-12-21

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There is no standard approach. One of many approaches:

Standardize (zscore or mapstd)
Remove or modify outliers
Obtain multiple training set only designs via newrb and/or patternnet with 'dividetrain' 
Remove points with more than M number of misclassifications.

Hope this helps

Thank you for formally accepting my answer

Greg