Consider the following table of observations:

$\backslash$table$[[$No$.,$Outlook,Temperature,Humidity,Wind$],[1,$sunny,hot,high,false$],[2,$sunny,hot,high,true$],[3,$overcast,hot,high,false$],[4,$rain,mild,high,false$],[5,$rain,cool,normal,false$],[6,$rain,cool,normal,true$],[7,$overcast,cool,normal,true$],[8,$sunny,mild,high,false$],[9,$sunny,cool,normal,false$],[10,$rain,mild,normal,false$],[11,$sunny,mild,normal,true$],[12,$overcast,mild,high,true$],[13,$overcast,hot,normal,false$],[14,$rain,mild,high,true$]]$

From the classified examples in the above table, construct a decision trees for the classification "Play Golf." and what the outcome will be depending on 'Outlook', 'Temperature', 'Windy',