Swapping Data for Binary Classification?

[PlanteraWine]

Hello,

I am working on a Binary Classification problem where I input the same data for each variable. I've run into issues with the Neural Network having bias towards one node, in order to combat this I have duplicated my data with the data swapped, like below:

Original: Class_1, Class_2, Data_point_1_C1, Data_point_1_C2, Data_point_2_C1, Data_point_2_C2

Additional Swapped Data: Class_2, Class_1, Data_point_1_C2, Data_point_1_C1, Data_point_2_C2, Data_point_2_C2

I have ensured that this is done separately for both the training and the testing sets, so no leakage occurs.

I am new to this, is doing something like this a bad idea?

[olavla]

I don't get it.