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Summary WK11Assgn.docx DDHA 8800 Week 11: K- Means Clustering DDHA 8800 Data-Driven Decision Making in Health Administration Problem 17-21 A. This problem is looking to see where splits need to be made in order to reduce diversity. The classification meth

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WK11A DDHA 8800 Week 11: K- Means Clustering DDHA 8800 Data-Driven Decision Making in Health Administration Problem 17-21 A. This problem is looking to see where splits need to be made in order to reduce diversity. The classification method that will be used in order to successfully classify gender, age, and education will be a classification tree or known as decision tree. Possible first splits Gender % Y Diversity F 0.4941 0.9999 M 0.6356 0.9264 Total 0.9636 Drop rate

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DDHA 8800

Week 11:

K- Means Clustering

DDHA 8800

Data-Driven Decision Making in Health Administration


Problem 17-21

A. This problem is looking to see where splits need to be made in order to reduce

diversity. The classification method that will be used in order to successfully

classify gender, age, and education will be a classification tree or known as

decision tree.

Possible first splits
Gender %Y Diversity
F 49.41% 0.9999
M 63.56% 0.9264
Total 0.9636 Drop rate 0.0200


Age % Diversity
M,O Y 0.9678
Y 58.97%
50.94% 0.9996
Total 0.978 Drop rate 0.0056

M 53.69% 0.9946
Y,O 57.79% 0.9757
Total 0.9821 Drop rate 0.0015

O 64.22% 0.9191
Y, M 52.35% 0.9978
Total 0.9709 Drop rate 0.0127


Education %Y Diversity
HS 26.27% 0.7747
UG, G 71.58% 0.8137
Total 0.8007 Drop rate 0.1829

HS, G 58.56% 0.9707

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