Every day, your pet cat Markov is either in a good or bad mood, with one mood transition between days. Your cat's behavior on a day depends on its mood. The cat mood process can be modeled using an HMM with the following parameters P(Mi) good PB I M good) iss 0/5 meow 3/5 purr PM M-1-good good 2/5 3/4 1/4 3/5 1/5 1/5 meow good purr 3/4 Transitions Emissions Note that Markov is in a good mood on day one, the value of her behavior on day one (B1) is irrelevant to all calculations below, and you can prune B, from the network. Given B2-meow, B3 purr, what are the most possible values for M2 and M3 using Viterbi algorithm? o A. M,-good , M,-good B. M2-good, M,-bad C. M,-bad, M,-good 0 D. M,-bad, M3-bad