Probabilistic Polynomial time (PP) is a complexity class in computational theory that includes decision problems solvable by a probabilistic Turing machine in polynomial time, where the probability of the machine's correctness is greater than 1/2. This class is significant because it captures the essence of problems that can be efficiently solved with a probabilistic approach, even if the solution is not always correct, highlighting the power of randomness in computation.