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thekingofkings
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chicago-partition
Automatically partition Chicago into Community Areas (CA), while minize the CA level crime prediction error.
MIT License
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Perform Qualitative Study of region partition before and after
#14
Open
porterjenkins
opened
6 years ago
porterjenkins
commented
6 years ago
We want to get an intuitive sense of why our algorithm eventually chooses the partition structure that it does
Before:
Learn NB regression using one simple feature (X) conditional on the administrative community structure. Perhaps average income by community area?
Plot heat map of community area by (X)
Plot heat map of community area by crime (y)
After:
Learn NB regression using one simple feature (X) conditional on final community structure
Plot heat map of community area by (X)
Plot heat map of community area by crime (y)
What do we observe? Is there any intuitive observation we can make about the changes?
porterjenkins
commented
6 years ago
Possible measures:
Poverty index (pct of households in <=30k income)
Entropy of income
We want to get an intuitive sense of why our algorithm eventually chooses the partition structure that it does
Before:
After:
What do we observe? Is there any intuitive observation we can make about the changes?