Question: Suppose we are given, the dataset listed in table below for a classification problem. There are four input attributes. We learn a decision tree classifier.

Suppose we are given, the dataset listed in table below for

Suppose we are given, the dataset listed in table below for a classification problem. There are four input attributes. We learn a decision tree classifier. \begin{tabular}{ICICICICICL} \hline Outlook & Temp. & Humidity & Wind & Play Tennis \hline Sunny & Hot & High & Weak & No 1 \hline Sunny & Hot & High & Strong & No \hline Overcast & Hot & High & Weak & Yes \hline Rain & Mild & High & Weak & Yes \hline Rain & Cool & Normal & Strong & No 1 \hline Overcast & Cool & Normal & Weak & Yes \hline Sunny & Cold & Normal & Weak & Yes " \hline Rain & Mild & Normal & Strong & Yes \hline Sunny & Mild & Normal & Strong & Yes Thline Overcast & Mild & High & Strong & Yes \ \hline Overcast & Hot & Normal & Weak & Yes \hline Rain & Mild & High & Strong & No \hline \end{tabular) 1. [10 Points] Calculate the information gain for the four attributes. CS. JG. 048

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