Design decision tree classifier using the sales record dataset where 'yes' means the user bought an item and $\text{'}$no$\text{'}$ means user did not buy. Predict if any new user will end up buying any item or not on the website for city $=$'Bangalore' job$=$'employed' and $.$credit$\_$limit $=3-4$lakhs and age $=30.$

$\backslash$table$[[$city$,$job,credit$\_$limit$,$age,y$],[$Bangalore$,$employed,$1-2$ lakhs,$20,$yes$],[$Chennai$,$student,$1$ lakh,$15,$yes$],[$Chennai$,$employed,$2-3$ lakhs,$55,$no$],[$Chennai$,$unemployed,$1$ lakh,$33,$no$],[$Bangalore$,$employed,$1$ lakh,$27,$yes$],[$Bangalore$,$student,$1$ lakh,$18,$no$],[$Chennai$,$employed,$2-3$ lakhs,$28,$yes$]]$