{"package":"r-imbalance","ecosystem":"conda","exists":true,"latest_version":"1.0.2.1","repository":"","license":"GPL (>= 2)","description":"Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an use","downloads_weekly":450,"deprecated":false,"health":{"score":49},"_cache":"db_only_bot","_partial":true,"_response_ms":0,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}