What does E(Y|X=x) represent in logistic regression? Please select all that apply. It's possible that there is only one correct answer.

Group of answer choices

A. If we define Y = 1 as the success and Y = 0 as the failure, E(Y|X=x) is the probability of success regardless of the value of X, i.e., P(Y=1)

B. If we define Y=1 as the success and Y = 0 as the failure, E(Y|X=x) is the probability of success when X=x, i.e., P(Y=1|X=x)

C. E(Y|X=x) is the mean of Y when X = x

D. If we define Y = 1 as the success and Y = 0 as the failure, E(Y|X=x) is the odds of success when X=x