around 500 user_id's data is not present in any csv files except users.csv.
Due to this no test data and features can be presented to predict this users's engagement.
True. I saw around 600 which is almost half. That realy affects the performance of the algos. Looks like it was intentiona, but why???
@Sorous @JuliusFx
You can view this challenge more of as a forecasting challenge. So the ~500 users in the user file are the users you need to "forecast" for and submit. You will find those ~500 users in the sample submission file.
'%3e%3ccircle r='20' fill='%23008'/%3e%3ccircle r='17.5' fill='%23fff'/%3e%3ccircle r='3.5' fill='%23008'/%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cg id='a' fill='%23008'%3e%3ccircle r='.875' transform='rotate(7.5 -8.75 133.5)'/%3e%3cpath d='M0 17.5.6 7 0 2l-.6 5L0 17.5z'/%3e%3c/g%3e%3cuse xlink:href='%23a' transform='rotate(15)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(30)'/%3e%3c/g%3e%3cuse xlink:href='%23c' transform='rotate(60)'/%3e%3c/g%3e%3cuse xlink:href='%23d' transform='rotate(120)'/%3e%3cuse xlink:href='%23d' transform='rotate(-120)'/%3e%3c/g%3e%3c/svg%3e){kind=small}
True. I saw around 600 which is almost half. That realy affects the performance of the algos. Looks like it was intentiona, but why???
@Sorous @JuliusFx
You can view this challenge more of as a forecasting challenge. So the ~500 users in the user file are the users you need to "forecast" for and submit. You will find those ~500 users in the sample submission file.