Open rkondo3 opened 5 months ago
Great Job! I tried the simplest model with your latitude and longitude cols. It improved the F1 score! The simplest model: 0.6283502461479223 The simplest model+lat+long: 0.6375352741316181
Many thanks! I submitted the errata in location into Google Drive.
The file errata_location.csv
is a list of corrections for the geographical data I with latitudes, longitudes, and geohash.
The names of locations that I couldn't convert before were due to two reasons: annotations in parentheses and typos.
I have successfully resolved these issues, and now I can convert them without any problems.
I apologize for not being familiar with using Pandas, and I couldn't rewrite my data I submitted. Please handle this matter.
Thank you! It might seem simple, but I think it was more deceptively hard. I will use it!
I encoded City + State data into Geohash by packages
geopy
andgeohash2
. In both train and test data, I got missing data in more than 200 rows.