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Right now, we are using a pretty standard random forest classifier to get potential locations for users. This model could be improved by messing with the parameters or by experimenting with pipelining components and adjusting the model features.
The text was updated successfully, but these errors were encountered:
Right now, we are using a pretty standard random forest classifier to get potential locations for users. This model could be improved by messing with the parameters or by experimenting with pipelining components and adjusting the model features.
The text was updated successfully, but these errors were encountered: