Short observation sequence:
    ['C1', 'C2', 'C3', 'C4', 'C4', 'C6', 'C7', 'none']

Filtering - distribution over most recent state:
    onset 0.000     mid 0.000     end 0.000     final 1.000 

Prediction - distribution over next state:
    onset 0.000     mid 0.000     end 0.000     final 1.000 

Smoothing - distribution over state at each point in time:
    time 0     onset 1.000     mid 0.000     end 0.000     final 0.000  
    time 1     onset 1.000     mid 0.000     end 0.000     final 0.000  
    time 2     onset 0.332     mid 0.668     end 0.000     final 0.000  
    time 3     onset 0.000     mid 0.997     end 0.003     final 0.000  
    time 4     onset 0.000     mid 0.938     end 0.062     final 0.000  
    time 5     onset 0.000     mid 0.000     end 1.000     final 0.000  
    time 6     onset 0.000     mid 0.000     end 1.000     final 0.000  
    time 7     onset 0.000     mid 0.000     end 0.000     final 1.000  

Viterbi - predicted state sequence:
    ['onset', 'onset', 'mid', 'mid', 'mid', 'end', 'end', 'final']
Viterbi - actual state sequence:
    ['onset', 'onset', 'mid', 'end', 'end', 'end', 'end', 'final']
The accuracy of your viterbi classifier on the short data set is 0.75
The accuracy of your viterbi classifier on the entire data set is 0.75