PENENTUAN MODEL TERBAIK REGRESI RIDGE DAN TERAPANNYA

  • Sri Utami Zuliana UIN Sunan Kalijaga
DOI: https://doi.org/10.20884/1.jmp.2018.10.2.2843

Abstract

Ridge regression is one of penalized regression methods. Penalized regression methods  are usually used for solving the problem of multicollinearity. The best model in ridge regression has been chosen by some previous techniques. In the techniques there is bias-variance trade-off.  In this paper, Schall algorithm will be applied for choosing the best model. Schall algorithm is faster because it only needs a few iteratives to be convergence. 

Published
2018-12-28
How to Cite
ZULIANA, Sri Utami. PENENTUAN MODEL TERBAIK REGRESI RIDGE DAN TERAPANNYA. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 10, n. 2, p. 43-48, dec. 2018. ISSN 2550-0422. Available at: <https://jos.unsoed.ac.id/index.php/jmp/article/view/2843>. Date accessed: 14 mar. 2025. doi: https://doi.org/10.20884/1.jmp.2018.10.2.2843.
Citation Formats
Issue
Vol 10 No 2 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Section
Articles

Each article is copyrighted © by its author(s) and licensed under CC BY-NC-ND License.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.