Question: Analyze the possible split points for X1 by filling in the table below. i. Identify the possible split points. ii. Count the number of 0

 Analyze the possible split points for X1 by filling in the
table below. i. Identify the possible split points. ii. Count the number
of 0 s and 1s in each branch of the possible splits.
iii. Calculate the Gini index for each brancl of the possible splits.
iv. Calculate the combined Gini index for each possible splits. During the
classification tree construction process, you are determining how to split the 8
datapoints provided below using one of the two predictor variables, X1 and

Analyze the possible split points for X1 by filling in the table below. i. Identify the possible split points. ii. Count the number of 0 s and 1s in each branch of the possible splits. iii. Calculate the Gini index for each brancl of the possible splits. iv. Calculate the combined Gini index for each possible splits. During the classification tree construction process, you are determining how to split the 8 datapoints provided below using one of the two predictor variables, X1 and X2. Express all answers rounded to four decimal places, but use unrounded values in all calculations. \begin{tabular}{|c|c|c|c|} \hline Split Point & \# of 0s Left Branch & \# of 1s Left Branch & \# of 0s Right Branch \\ \hline \end{tabular} \begin{tabular}{l|c|c|c|c|} \hline 0s 3ht nch & \# of 1s Right Branch & Gini Index Left Branch & Gini Index Right Branch & Combined Gini Index \\ \hline & & & & \\ \hline \end{tabular} b. Information about the possible split points for X2 is provided for you in the table below. Determine the optimal split. i. What is the minimum Gini index overall? ii. Which variable would be split? X1X2 iii. What split point would be used for the logical test of this new decison node? Analyze the possible split points for X1 by filling in the table below. i. Identify the possible split points. ii. Count the number of 0 s and 1s in each branch of the possible splits. iii. Calculate the Gini index for each brancl of the possible splits. iv. Calculate the combined Gini index for each possible splits. During the classification tree construction process, you are determining how to split the 8 datapoints provided below using one of the two predictor variables, X1 and X2. Express all answers rounded to four decimal places, but use unrounded values in all calculations. \begin{tabular}{|c|c|c|c|} \hline Split Point & \# of 0s Left Branch & \# of 1s Left Branch & \# of 0s Right Branch \\ \hline \end{tabular} \begin{tabular}{l|c|c|c|c|} \hline 0s 3ht nch & \# of 1s Right Branch & Gini Index Left Branch & Gini Index Right Branch & Combined Gini Index \\ \hline & & & & \\ \hline \end{tabular} b. Information about the possible split points for X2 is provided for you in the table below. Determine the optimal split. i. What is the minimum Gini index overall? ii. Which variable would be split? X1X2 iii. What split point would be used for the logical test of this new decison node

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