How can I choose the best neural network in MATLAB when my results change each time I retrain?

Hi. I have finally built a dataset and trained it (for classification) in both patternnet and the Classification Learner App. I usually get an accuracy of over 98%, but each time I retrain the network, this number changes. How do I know which network is the best when each of them vary around 1% each time I retrain? Thanks

Answer 1

[KJVKU999]

You can use at the beginning of your program:

rng(1);

so that your results won't differ every time you retrain your network.

This link will provide more information: https://www.mathworks.com/help/matlab/ref/rng.html