For classification problems with two features (d = 2, test point z ∈ R 2 ), which of the following methods have posterior probability distributions of the form P(Y|X = z) = s(Az2 1 + Bz2 2 + Cz1z2 + Dz1 + Ez2 + F) where s is the logistic function s(γ) = 1 1+e −γ and A, B, C, D, E, F ∈ R can all be nonzero?

2 over 5

step-by-step explanation:

the 2: 3 ratio is the length of the ac segment to the cb segment total length. this implies that the ratio between segment ac length and segment ab length is 2: 5. point c is 2/5 from a to b, so the required fraction is 2/5.

whole numbers.

step-by-step explanation:

we are given the average monthly rainfall (in millimeters) model r(m) for the years 1900-2009 as a function of the month number m.

as we can see m is taken for the number of months for years 1900-2009.

we know that number of months can't be a negative number or decimal number or a fraction.

so, the number of months could be only positive whole numbers.

therefore, whole numbers is more appropriate for the domain of r.

answer: what statements

step-by-step explanation if you write the statements down then i could you.