Analysis of High Dimensional Data Using Development Support Vector Regression, Functional Regression, Ridge and Lasso Regression

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

‎The high-dimensional data analysis using classical regression approaches is not applicable, and the consequences may need to be more accurate. This study tried to analyze such data by introducing new and powerful approaches such as support vector regression, functional regression, LASSO and ridge regression. On this subject, by investigating two high-dimensional data sets  (riboflavin and simulated data sets) using the suggested approaches, it is progressed to derive the most efficient model based on three criteria (correlation squared, mean squared error and mean absolute error percentage deviation) according to the type of data.

Language:
Persian
Published:
Journal of Statistical Sciences, Volume:17 Issue: 1, 2023
Pages:
81 to 102
https://www.magiran.com/p2606704