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Sep 21, 2018 at 1:24 comment added psygo I had already tried to do that, as I specified in the original question. I've tried it again with sklearn's more compact train_test_split and it still doesn't work.
Sep 20, 2018 at 23:32 history edited Francesco Pegoraro CC BY-SA 4.0
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Sep 20, 2018 at 22:41 comment added psygo Your suggestion for using binary_crossentropy does work as an alternative way of doing the same thing, but it doesn't seem to solve the problem, I still get the weird complementary accuracies. Thanks for clarifying the difference between binary_crossentropy and categorical_crossentropy though.
Sep 20, 2018 at 22:38 comment added psygo Can't you really find the files I mentioned? They are here, aren't they? Though there is a lot of stuff there, the only files you need is the data (atp_python_2018-08-27_1-1500.json) and the Jupyter Notebook (ATP NN.ipynb).
Sep 20, 2018 at 22:13 history answered Francesco Pegoraro CC BY-SA 4.0