Why am a getting wrong prediction when combining two list of samples, which individually gives correct prediction?

So I am coding in Python. I have to set of samples. Set1 contains samples of class A and the other set, Set2 contains samples of class B. When I am predicting set1 and set2 individually, the classification is perfect. Now when I am merging the two sets for prediction into one set, the prediction

Can I execute a python code written in Python 2.7 (using numpy and tensor flow executed in linux) in Winpython 3.6 on Windows?

Here is the code that has been written in Python 2.7, numpy, tensorflow: https://drive.google.com/open?id=1JZe7wfRcdlEF6Z5C0ePBjtte_2L4Kk-7 Can you please let me know what changes I have to make to execute it on WinPython 3.6? Else, is there a version on Python 2.7 in Winpython? I have Winpython

Re: Calling Matlab (2016a) function from Python(3.6)

error persists >>> h.Execute ("run('H:\\rishika\\MATLAB\\filewrite.m')") '??? Error using run (line 41)\nH:\\rishika\\MATLAB\\filewrite.m not found.\n\n' >>> h.Execute ("run(r'H:\rishika\MATLAB\filewrite.m')") '??? Error: Unexpected MATLAB expression.\n\n -- https://mail.python.org/mailman/listinf

Re: Calling Matlab (2016a) function from Python(3.6)

I tried these options too as suggested by Paul... >>> h.Execute ("run('H:\\rishika\\MATLAB\\filewrite.m')") '??? Error using run (line 41)\nH:\\rishika\\MATLAB\\filewrite.m not found.\n\n' >>> h.Execute ("run(r'H:\rishika\MATLAB\filewrite.m')") '??? Error: Unexpected MATLAB expression.\n\n -- htt