# How should I label the classes in RNA?

I have a project, which is the keyboard biometrics of users.

suppose I have 3 users, I do not know how to label in two types of class, (+ 1, -1).

If I want to verify the identity to user1, my idea of ​​class designation would be:

       TIMES                LABEL
user 1
9.4  9.2  1.0  3.4  0.5      1
9.4  9.2  1.0  3.4  0.5      1
9.4  9.2  1.0  3.4  0.5      1
9.4  9.2  1.0  3.4  0.5      1
9.4  9.2  1.0  3.4  0.5      1

user 2
0.1  3.2  1.0  1.2  1.7      -1
3.4  1.2  3.0  1.1  2.8      -1
2.4  2.2  3.0  1.6  2.9      -1
1.4  3.2  2.0  2.6  3.6      -1
3.4  0.2   3.0  2.7  3.5     -1

user N
0.2  1.4  4.5  3.7  2.9      -1
9.2  1.5  7.6  2.6  2.6      -1
9.3  1.6  7.5  2.9  3.4      -1
9.8  3.8  6.6  2.8  2.5      -1
9.8  2.8  1.7  3.8  1.6      -1


but as my system has more and more users classes -1 will be too many compared to classes +1, How should I label the classes?

• Just as a quick clarification, are you wondering how to add more than two class (-1 and +1) to your model? Specifically what type of classifier are you using? A neural network? An SVM? Logistic regression? There are many ways to do this, some of them specific to the model and some more general to any classifier. Oct 11 '18 at 3:12
• @juicedatom i used network neural, but my data is inbalanced data Oct 11 '18 at 11:26