chore(dvc): ModelSize: 10M instead of 4M

chore(dvc): First experiment

chore(dvc): Test modelsize 4M

fix(dvc): Metrics where in an array ...

DVC couldn't read interesting values

feat(dvc): Add metrics ...

Statistics on precision values of all geographic areas.

feat: Add maximum size to models

feat: Add train-areas ...

And run it

chore(dvc): Integrate test-to-areas into split stage

chore(dvc): Add stage test-to-areas

fix(split-addresses): Remove area from addresses

feat(dvc.yaml): Reorganize dvc.yaml ...

To prepare train AND test

feat(split): Reduce the number of areas

feat(create-tree): Create areas directory ...

And subdirectories

feat(extract-areas): Add extract-areas to dvc.yaml

feat(address-to-area): Use params.yaml

chore(dvc): Generate area-address.tsv