Показать сокращенную информацию
Comparison of generalization error's methods on case of linear regression
| Автор | Pavel, Peresunko | |
| Автор | Kristina, Pakhomova | |
| Автор | Eugenia, Soroka | |
| Автор | Sergey, Videnin | |
| Дата внесения | 2020-01-20T07:13:38Z | |
| Дата, когда ресурс стал доступен | 2020-01-20T07:13:38Z | |
| Дата публикации | 2019-09 | |
| Библиографическое описание | Pavel, Peresunko. Comparison of generalization error's methods on case of linear regression [Текст] / Peresunko Pavel, Pakhomova Kristina, Soroka Eugenia, Videnin Sergey // Applied Methods of Statistical Analysis: Statistical Computation and Simulation. — 2019. — Т. 1 (№ 5). | |
| URI (для ссылок/цитирований) | http://amsa.conf.nstu.ru/amsa2019/proceedings/AMSA2019-proceedings.pdf | |
| URI (для ссылок/цитирований) | https://elib.sfu-kras.ru/handle/2311/128608 | |
| Аннотация | In feature selection process it is important to estimate generalized error of selected model. There are a lot of methods based on resampling procedure. All this methods have their features, and this work have a large study. Each of selected method was run for 7200 times to nd any pattern according to samples and feature count of dataset. This research shows accuracy of each method for Lasso regression in case of linear function. | |
| Тема | Generalization Error Estimation | |
| Тема | Cross-Validation | |
| Тема | Monte Carlo | |
| Тема | Cross Validation | |
| Тема | Cross-validation and cross-testing | |
| Тема | Nested Cross Validation | |
| Тема | Lasso | |
| Название | Comparison of generalization error's methods on case of linear regression | |
| Тип | Journal Article | |
| Тип | Journal Article Preprint | |
| ГРНТИ | 20.53.19 | |
| Дата обновления | 2020-01-20T07:13:38Z | |
| Институт | Институт космических и информационных технологий | |
| Подразделение | Кафедра информатики | |
| Подразделение | Кафедра информационных систем | |
| Журнал | Applied Methods of Statistical Analysis | |
| Квартиль журнала в Scopus | без квартиля |
