HIGHLIGHTS
- who: Editor_RESTI from the School of Computing, Telkom University have published the article: Template IAII : RSTI, in the Journal: (JOURNAL)
- what: This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and Stacking on This study shows that combining different methods can produce superior performance than combining a single method several times. The stacking technique proposed in this study is less than optimal when implemented on imbalanced data because of the significant difference in instances when it is implemented on balanced data. algorithms. The aim of this study . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.