Hello, please help me with this question(Splitting Measures: Information Gain)

Thank you very much

[12 points] We would like to predict the results of a team's games using the following in- formation: the location of the game and the team's points and assists, as shown in Table 1 Create a decision tree using information gain for attribute selection. Show all calculations. Location >100 points >20 assists Win Home Yes No Yes Away No Yes Yes Away Yes Yes No Home Yes No Yes Home Yes Yes No Away No No No Home No Yes Yes Home Yes No Yes Away No Yes Away No No No Away Yes Yes Yes Home Yes Yes No Bubble No No Yes Bubble Yes Yes No Bubble Yes No Yes Bubble No Yes No Yes Table 1: Data for 16 Basketball Games Using this decision tree, predict whether the team won or lost in the following games. The team played a home game, scored 95 points, and had 30 assists. The team played an away game, scored 120 points, and had 20 assists. [12 points] We would like to predict the results of a team's games using the following in- formation: the location of the game and the team's points and assists, as shown in Table 1 Create a decision tree using information gain for attribute selection. Show all calculations. Location >100 points >20 assists Win Home Yes No Yes Away No Yes Yes Away Yes Yes No Home Yes No Yes Home Yes Yes No Away No No No Home No Yes Yes Home Yes No Yes Away No Yes Away No No No Away Yes Yes Yes Home Yes Yes No Bubble No No Yes Bubble Yes Yes No Bubble Yes No Yes Bubble No Yes No Yes Table 1: Data for 16 Basketball Games Using this decision tree, predict whether the team won or lost in the following games. The team played a home game, scored 95 points, and had 30 assists. The team played an away game, scored 120 points, and had 20 assists