Tuning parameters in random forests
Breiman's (2001) random forests are a very popular class of learning algorithms often able to produce good predictions even in high-dimensional frameworks, with no need to accurately tune its inner parameters. Unfortunately, there are no theoretical findings to support the default values used f...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
|
| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | https://doi.org/10.1051/proc/201760144 |
| _version_ | 1797965286664568832 |
|---|---|
| author | Scornet Erwan |
| author_facet | Scornet Erwan |
| author_sort | Scornet Erwan |
| collection | DOAJ |
| description | Breiman's (2001) random forests are a very popular class of learning algorithms often able to produce good predictions even in high-dimensional frameworks, with no need to accurately tune its inner parameters. Unfortunately, there are no theoretical findings to support the default values used for these parameters in Breiman's algorithm. The aim of this paper is therefore to present recent theoretical results providing some insights on the role and the tuning of these parameters. |
| first_indexed | 2024-04-11T01:56:28Z |
| format | Article |
| id | doaj.art-942f2f21fa074f1290fa8ddc36623f6c |
| institution | Directory Open Access Journal |
| issn | 2267-3059 |
| language | English |
| last_indexed | 2024-04-11T01:56:28Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ESAIM: Proceedings and Surveys |
| spelling | doaj.art-942f2f21fa074f1290fa8ddc36623f6c2023-01-03T05:03:52ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592017-01-016014416210.1051/proc/201760144proc186008Tuning parameters in random forestsScornet ErwanBreiman's (2001) random forests are a very popular class of learning algorithms often able to produce good predictions even in high-dimensional frameworks, with no need to accurately tune its inner parameters. Unfortunately, there are no theoretical findings to support the default values used for these parameters in Breiman's algorithm. The aim of this paper is therefore to present recent theoretical results providing some insights on the role and the tuning of these parameters.https://doi.org/10.1051/proc/201760144 |
| spellingShingle | Scornet Erwan Tuning parameters in random forests ESAIM: Proceedings and Surveys |
| title | Tuning parameters in random forests |
| title_full | Tuning parameters in random forests |
| title_fullStr | Tuning parameters in random forests |
| title_full_unstemmed | Tuning parameters in random forests |
| title_short | Tuning parameters in random forests |
| title_sort | tuning parameters in random forests |
| url | https://doi.org/10.1051/proc/201760144 |
| work_keys_str_mv | AT scorneterwan tuningparametersinrandomforests |