Open AccessAnalysis Of UMN Student Graduation Timeliness Using Supervised Learning Method
Author(s) -
Christian Pangestu Kuncoro
Publication year - 2022
Publication title -
international journal of new media technology/ijnmt (international journal of new media technology)
Language(s) - English
Resource type - Journals
eISSN - 2581-1851
pISSN - 2355-0082
DOI - 10.31937/ijnmt.v8i2.2366
Subject(s) - computer science , graduation (instrument) , variable (mathematics) , variables , regression analysis , visualization , data collection , data science , data mining , machine learning , statistics , mathematics , geometry , mathematical analysis