Build a Decision Tree based on the given data.

Requirements:

1. Use Entropy to select the best splitting feature based on given data

2. Give details of your calculations for each step

3. Draw your final Decision Tree based on your calculations.

\begin{tabular}{|l|l|l|l|} \hline Day & Outlook & Temperature & Play Tennis \\ \hline 1 & Sunny & Hot & No \\ \hline 2 & Sunny & Hot & No \\ \hline 3 & Overcast & Hot & Yes \\ \hline 4 & Rainy & Mild & Yes \\ \hline 5 & Rainy & Cool & No \\ \hline 6 & Rainy & Cool & No \\ \hline 7 & Overcast & Cool & Yes \\ \hline 8 & Sunny & Mild & Yes \\ \hline 9 & Sunny & Cool & No \\ \hline 10 & Rainy & Mild & Yes \\ \hline 11 & Sunny & Mild & Yes \\ \hline 12 & Overcast & Mild & Yes \\ \hline 13 & Overcast & Hot & Yes \\ \hline 14 & Rainy & Mild & Yes \\ \hline \end{tabular}