Quote:
Originally Posted by yaser
You can compute the total area of misclassification divided by 4 (the total area of the input space). The area of misclassifcation will be that of points for which and give different values. In one of the theory lectures, there will be a figure depicting this area. It is easier to compute it numerically as you did.

Hi, could you elaborate why we need to divide the total area of misclassification by 4?
If the input space is 2D, I can see that there are two triangles formed by f(x) and g(x), and the total area of the two triangles include all the errors. So I thought the P(f(x) != g(x)) = area of error / total area of input space...no?
Thanks in advance.