We want to build a bayes classifier for a binary classification task (y = 1 or y = 2) with two binary features (x1 and x2). we know the following quantities: (1) p(y = 1) = 0.6; (2) p(x1 = 0, x2 = 0|y = 1) = 0.3, p(x1 = 0, x2 = 1|y = 1) = 0.1, p(x1 = 1, x2 = 0|y = 1) = 0.4, p(x1 = 1, x2 = 1|y = 1) = 0.2, and (3) p(x1 = 0, x2 = 0|y =

correct answer is infinitely many solutions

step-by-step explanation:

2(2x + 3) = -4 + 2(2x + 5)

solving the above equation:

4x + 6 = -4 +4x +10

combining like terms

4x -4x = -4+10-6

0=0

since both sides are 0=0, we end up into true statement it means it has infinite many solutions.

so correct answer is infinitely many solutions

grab rope, tie a loop-de-loop, put it around ur neck, now jump while its tied to a high place. now your shoes are cool.

step-by-step explanation:

it shoild be o

step-by-step explanation: