The table below gives the following training data $-$

$\backslash$table$[[\backslash$table$[[$Sr$.],[$No$.]],$Worker,Mood,Job,Time,$\backslash$table$[[$Good Work$],[$Quality$?]]],[1,$Sam,Bad,Painting,Morning,Yes$],[2,$Samr,Good,Plumbing,Evening,Yes$],[3,$Ashwin,Bad,Painting,Morning,No$],[4,$Ashwin,Bad,Plumbing,Evening,No$.],[5,$Ashwin,Good,Washing,Morning,Yes$],[6,$Sam,Good,Washing,Evening,Yes$],[7,$Sham,Good,Painting,Morning,Yes$],[8,$Sham,Bad,Plumbing,Evening,No$.],[9,$Ashwin,Bad,Washing,Morning,Nor$],[10,$Ashwin,Good,Washing,Evening,Yes$],[11,$Sam,Good,Painting,Evening,Yes.$],[12,$Sham,Bad,Washing,Morning,No$-],[13,$Sham,Good,Washing,Evening,Yes.$],[14,$Sam,Bad,Plumbing,Morning,Yes.$],[15,$Sham,Good,Painting,Morning,No$],[,,,,,]]$

Using Nayve Bays Classification, estimate the class for 'Good Work Quality' for the given feature vector Worker $=$ Sham, Mood $=$ Bad, Job $=$ Painting, Time $=$ Morning$)$