Class 1 point Instance Attribute 1 Attribute 3 Attribute 2 1 2 4 5 6 F B 9 Figure 1: Training Dataset Review the table labeled Figure 1: Training Dataset. Assume that we want to use a deasion tree for modeling the data Using entropy as the measure of node impurity to calculate information gain, which attribute will provide the best split Attribute Attribute Attribute e2 instance 1 point 2 Class Attribute 3 Instance Attribute 1 Attribute 2 Y 1 1 T 1 Y 6 2 T T N 5 T 3 F Y 4 7 N 5 3 8 7 ZZZ ? 5 Figure 1: Training Dataset Review the table labeled Figure 1. Training Dataset. Assume that we want to use a decision tree for modeling the data. Using entropy as the measure of node impurity. what is the information gain if a split is done individually on Attribute and Attribute 22 Attribute 1 - 0229 Attribute 2-0.995 Attribute 1-0.991 Attribute 2-0.007 Attribute 1-0.229. Attribute 2-0.007 Attribute 1 -0.007 Attribute 2 -0.229 3. Instance Attribute 1 Attribute 2 Attribute 3 Class 1 point 1 T T 1 Y 2 T T 6 Y 3 T 5 N 4 F F 7 N 6 3 N 7 N 8 7 Y 5 N Figure 1. Training Dataset Review the table labeled Figure 1. Training Dataset. Assume that we want to use a decision tree for modeling the data, Based on the information provided in the table Attribute 3 is continuous. Therefore, to apply a split to Attribute 3, a threshold point needs to be identified. Using entropy as the measure of node impurity and the information gain metrie what is the best split point for Attribute 3? A split point equal to 6.5 A split point equal to 5.5 A split point equal to 3.5 A split point equal to 2.0 Instance Attribute 1 Attribute 2 Attribute 3 Class 1 point 1 T 2 T 3 F N 4 5 6 7 8 9 Figure 1: Training Dataset Review the table labeled Figure 1: Training Dataset. Assume that we want to use a decision tree for modeling the data. using entropy as the measure of node impurity to calculate information gain which attribute will provide the best split: Attribute 3 Attribute 1 Attribute 2 Instance 1 po 2. Class Instance Attribute 1 Attribute 3 Attribute 2 Y 1 T 1 T 6 N 3 F 5 4 F F 4 5 N T F 7 z