Regression study for thyroid disease prediction Comparison of crossing-over approaches and multivariate analysis
Regression analysis is one of the common machine learning method to model the relationship between dependent and independent variables. In this study, we aim to tackle two crucial elements that affect the performance of regression models, which are the type of crossing-over method used for model eva...
保存先:
主要な著者: | Ong, Song Quan, Pradeep Isawasan, Khairulliza Ahmad Salleh |
---|---|
フォーマット: | Conference or Workshop Item |
言語: | English English |
出版事項: |
2022
|
主題: | |
オンライン・アクセス: | https://eprints.ums.edu.my/id/eprint/38467/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38467/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/38467/ https://ieeexplore.ieee.org/document/9918722 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
著者:: Lee, Ming Ha
出版事項: (2006) -
MSG 366 - MULTIVARIATE ANALYSIS NOVEMBER 2009
著者:: PPSM, Pusat Pengajian Sains Matematik
出版事項: (2009) -
Comparison between multiple regression and structural equation modelling in identifying influential factors in academic performance
著者:: Dg Siti Nurisya Sahirah Ag Isha
出版事項: (2024) -
Analysis of neutrosophic multiple regression
著者:: Nagarajan, D., 等
出版事項: (2021) -
Robust multivariate exponential weighted moving average (MEWMA) control charts using distance-wise robust estimators
著者:: Faridzah, Jamaluddin
出版事項: (2020)