dataset has 400 patients tested positive for CKD and 400 tested negative for CKD (400 + ve; 400 - ve). Now, suppose you have two
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There is a dataset of 800 patients tested for Chronic Kidney Disease (CKD). The dataset has 400 patients tested positive for CKD and 400 tested negative for CKD (400 + ve; 400 - ve).
Now, suppose you have two possible splits based on a decision tree classifier.
Possible split #1:
(300 + ve; 100 - ve) and (100 + ve; 300 - ve)
Possible split #2:
(200 + ve; 400 - ve) and (200 + ve; 0 - ve).
1. Calculate the Misclassification index for split #1 and split #2?
2. Calculate the Gini index for split #1 and split #2?
3. Which one of the two splitting methods is better and why?
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