Hello
I use MLP for soccer prediction. There are some input properties. It seems that some of them have good effect on result(like: shoots on target count) and some of them have bad effect(like bad passes count).
Now, my question is in mapping data for input, I should map both of properties in a same approach(NN modifies weights correctly) or I should map data with negative approach(for example: 1's complement)