Probability that ensemble model is correct based on accuracies of its classifiers
It's not the actual data, it's the probabilities. So you should consider all the scenarios of voting.
For the Ensemble to be correct,
Either any two or all the three should be correct
=$[m_1*m_2*(1- m_3) + m_1*(1-m_2)*m_3) + (1-m_1)*m_2*m_3] + [m_1*m_2*m_3]$
= [0.6*0.55*(1-0.45) + 0.6*(1-0.55)*0.45 + (1-0.6)*0.55*0.45] + 0.6*0.55*0.45
= 0.5505