2 [Classification-decision tree] 2- Consider two possible splits of training records during the decision tree induction. 100. B Consider two possible splits of training records during the decision tree induction. a) What is the gini index of each split? Which split produces more pure nodes? b) What is the information gain of each split?

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[Classification-decision
tree]
2- Consider two possible splits of training records during the decision tree
induction.
1000,
B
Consider two possible splits of training records during the decision tree induction.
a) What is the gini index of each split? Which split produces more pure nodes?
b) What is the information gain of each split?
Transcribed Image Text:[Classification-decision tree] 2- Consider two possible splits of training records during the decision tree induction. 1000, B Consider two possible splits of training records during the decision tree induction. a) What is the gini index of each split? Which split produces more pure nodes? b) What is the information gain of each split?
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