The dataset head looks like this. ( working in RStudio) head(df)
air_purifier_page_top checkout_page_top contactus_top
1 0 0 0
2 0 0 0
3 0 0 0
6 0 0 0
7 20 0 0
9 0 0 0
customer_service_amc_login_top customer_service_request_login_top
1 0 0
2 0 0
3 0 0
6 0 0
7 0 51
9 0 0
demo_page_top offer_page_top security_solutions_page_top sessionDuration
1 0 0 0 91
2 7 0 0 7
3 0 0 0 141
6 9 0 0 9
7 43 0 0 806
9 10 0 0 10
sessionDuration_hist storelocator_top successbookdemo_top
1 1069 0 0
2 0 0 0
3 248 0 0
6 0 0 0
7 0 0 0
9 0 0 0
vacuum_cleaner_page_top water_purifier_page_top converted_in_7days
1 91 0 0
2 0 0 0
3 0 142 0
6 0 0 0
7 0 227 0
9 0 0 0
target is "converted_in_7days", it has 4 class ( ie 0,1,2,3 ) and dataset is imbalanced. Can someone suggest any package and function (in R-Studio) which deals multiclass imbalanced data problem ? Thanks in advance. PS: ROSE works in binary only.