Problem $2$ Decision Tree and Na$$ve Bayes$(40$ points$)$:

$2-1$ You have the following observations of the last $14$ days. The training set is the first $10$ days $($D$1-$D$10)$ and the training set is the remaining $4($D$11-$D$14).$ Construct the minimal decision tree for the training set and test them on the test set and give the evaluation: P$,$R$,F1,$dots

$\backslash$table$[[$Day$,$Outlook,Temp,Humidity,Wind,Play Tennis?$],[$D$1,$Sunny,Hot,High,Weak,No$],[$D$2,$Sunny,Hot,High,Strong,No$],[$D$3,$Overcast,Hot,High,Weak,Yes$],[$D$4,$Rain,Mild,High,Weak,Yes$],[$D$5,$Rain,Cool,Normal,Weak,Yes$],[$D$6,$Rain,Cool,Normal,Strong,No$],[$D$7,$Overcast,Cool,Normal,Strong,Yes$],[$D$8,$Sunny,Mild,High,Weak,No$],[$D$9,$Sunny,Cool,Normal,Weak,Yes$],[$D$10,$Rain,Mild,Normal,Weak,Yes$],[$D$11,$Sunny,Mild,Normal,Strong,Yes$],[$D$12,$Overcast,Mild,High,Strong,Yes$],[$D$13,$Overcast,Hot,Normal,Weak,Yes$],[$D$14,$Rain,Mild,High,Strong,No$]]$

$2-2.$ Do the same using Na$$ve Bayes Algorithm and compare the results.