Which of the following functions can be a good logistic regression fit for the data set shown? Assume the features/axes are named x1 (horizontal) and x2 (vertical). The function g is the sigmoid function. 0 1 2 3 Oh(x) = g(x1 + x2) Oh(x) = g(-1 + x1 + x2) h(x) = g(x2 - (x1-1)^2 - 1) where^ denotes the sqaure h(x) = g(.8*x1 - x2)