Jake wants to preserve as many of the features from the previous map as possible. Looking at the V1 map (link below) It had the ability to switch between tracts and Counties and show the absolute ranking of each geography.
Therefore we will need to be able to aggregate and rank our models across multiple geographies.
For all three models:
-
(if needed) convert binary classification estimates to probabilities
-
create a function that outputs the ranks geoid ranks by probability
-
create a function that takes these probability and a geography level and gives the average probability for that geography level
https://home-fire-risk.github.io/smoke_alarm_map/
Jake wants to preserve as many of the features from the previous map as possible. Looking at the V1 map (link below) It had the ability to switch between tracts and Counties and show the absolute ranking of each geography.
Therefore we will need to be able to aggregate and rank our models across multiple geographies.
For all three models:
(if needed) convert binary classification estimates to probabilities
create a function that outputs the ranks geoid ranks by probability
create a function that takes these probability and a geography level and gives the average probability for that geography level
https://home-fire-risk.github.io/smoke_alarm_map/