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You are given a 2 nd order Markov model represented in Python as follows: model={(A,A):{A:.2,B:.8},(A,B):{B:1},(B,A):{A:1},(B,B):{A:.8,B:.2}} If the last state was B and the current state
You are given a 2 nd order Markov model represented in Python as follows: model={("A","A"):{"A":.2,"B":.8},("A","B"):{"B":1},("B","A"):{"A":1},("B","B"):{"A":.8,"B":.2}} If the last state was "B" and the current state is "A", what is the probability that the next state will be "B"? .2 1 .8 0
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