Question: 1 . Please manually build the decision tree based on Hunt s Algorithm. 2 . Build a decision tree with Outlook as the root, and

1. Please manually build the decision tree based on Hunts Algorithm.
2. Build a decision tree with Outlook as the root, and then Temp, and then Humidity, and then Wind
a. For this decision tree root, use multi-way test condition
b. For this decision tree root, use binary condition (i.e. Sunny and not Sunny)
c.Compare the differences of the classification results
3. Build a decision tree with Temp as the root, and then Outlook, and then Humidity, and then Wind.
4. So far you have built three decision tree, which one is the best? Which one may potentially experience overfitting problem? Why? \begin{tabular}{|l|l|l|l|l|l}
\hline Day & Outlook & Temp. & Humidity & Wind & Play Tennis \\
\hline D1 & Sunnv & Hot & Hiah & Weak & No \\
\hline D2 & Sunnv & Hot & Hiah & Strona & No \\
\hline D3 & Overcast & Hot & Hiah & Weak & Yes \\
\hline D4 & Rain & Mild & Hiah & Weak & Yes \\
\hline D5 & Rain & Cool & Normal & Weak & Yes \\
\hline D6 & Rain & Cool & Normal & Strona & No \\
\hline D7 & Overcast & Cool & Normal & Weak & Yes \\
\hline D8 & Sunnv & Mild & Hiah & Weak & No \\
\hline D9 & Sunnv & Cool & Normal & Weak & Yes \\
\hline D10 & Rain & Mild & Normal & Strona & Yes \\
\hline D11 & Sunnv & Mild & Normal & Strona & Yes \\
\hline D12 & Overcast & Mild & Hiah & Strona & Yes \\
\hline D13 & Overcast & Hot & Normal & Weak & Yes \\
\hline D14 & Rain & Mild & Hiah & Strona & No \\
\hline
\end{tabular}
1 . Please manually build the decision tree based

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