Below is a partial screenshot of a $($much larger$)$ dataset recording a photography studio's customers$$ favorite photography genres. Using this dataset, how to develop an expert $($or classification tree$)$ system to predict a new customer$$s favorite genre? Please clearly describe the steps $($such as math calculation, groupings, logical tests, etc.$)$ following which this model can be developed. Please also list a sample expert system and describe how to use it predict Shaosong$$s $($a $40-$year$-$old male from USA$)$ favorite genre.$\backslash$table$[[$Gender$,$Age,Country,Favorite Genre$],[$M$,23,$USA,Landscape$],[$F$,55,$China,Portrait$],[$F$,18,$USA,Animal$],[$M$,42,$Canada,Animal$],[$M$,37,$Canada,Portrait$],[$F$,25,$China,Landscape$]]$