Utilize HMM$\_$CSTR$.$mlx and relevant script files to generate the following

datasets:

Dataset $1$ for C$1$ as specified, ie$,$ for normal operation regime

Dataset $2$ for $20\%$ higher C$1,$ ie$,$ for $1$st abnormal operation regime

Dataset $3$ for $20\%$ lower C$1,$ ie$,$ for $2$nd abnormal operation regime

Next, train HMM agents, HMM$-1,$ HMM$-2$ and HMM$-3,$ respectively,

on Datasets $1,2$ and $3.$ Then from each dataset, randomly pick a $$test$$

sequence, input it to each agent, and obtain the log likelihood. Plot

log likelihood versus agent $($HMM$-1,$ HMM$-2$ and HMM$-3)$ for each

test sequence.

Finally, comment on the performance of HMM agents in identifying

the operation regime of test sequences.