Timeline for Not clear why adding additional features (not just transformations) reduces model bias in statistical machine learning
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| Nov 29, 2023 at 13:27 | history | reopened |
Adrian Keister utobi Peter Flom |
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| S Nov 28, 2023 at 19:47 | review | Reopen votes | |||
| Nov 29, 2023 at 13:27 | |||||
| S Nov 28, 2023 at 19:47 | history | edited | civilstat | CC BY-SA 4.0 |
Clarify that the question is about *model* bias, and about intuition for how model bias can be reduced by adding entirely new predictors (not just transforming existing predictors)
Added to review
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| Nov 28, 2023 at 18:58 | history | closed | whuber♦ | Needs details or clarity | |
| Nov 28, 2023 at 18:23 | answer | added | civilstat | timeline score: 4 | |
| Nov 28, 2023 at 18:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Apr 14, 2020 at 22:00 | history | edited | EL Dendo | CC BY-SA 4.0 |
edited title
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| Apr 14, 2020 at 21:33 | comment | added | user209249 | Consider changing the topic of your question to "Why adding polynomial features..." instead of "additional". | |
| Apr 14, 2020 at 21:31 | answer | added | user209249 | timeline score: 0 | |
| Apr 14, 2020 at 21:20 | review | First posts | |||
| Apr 14, 2020 at 22:06 | |||||
| Apr 14, 2020 at 21:17 | history | asked | EL Dendo | CC BY-SA 4.0 |