Timeline for Is excluding cases with missing data fine for a predictive (not explanatory/descriptive) model?
Current License: CC BY-SA 3.0
21 events
| when toggle format | what | by | license | comment | |
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| Jun 16, 2018 at 13:33 | vote | accept | Sam Weisenthal | ||
| Jun 16, 2018 at 13:33 | vote | accept | Sam Weisenthal | ||
| Jun 16, 2018 at 13:33 | |||||
| S Mar 7, 2018 at 20:43 | history | bounty ended | Sam Weisenthal | ||
| S Mar 7, 2018 at 20:43 | history | notice removed | Sam Weisenthal | ||
| Mar 4, 2018 at 18:24 | history | edited | Sam Weisenthal | CC BY-SA 3.0 |
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| Mar 4, 2018 at 18:21 | comment | added | Sam Weisenthal | @Jim (1) yes (2) let X be a real number or vector of real numbers | |
| Mar 4, 2018 at 16:47 | comment | added | Jim | @user86895 just to clarify some points: (1) do I understand correctly that $y$ is assumed binary, specifically an element of $\{0,1\}$? (2) is $x$ assumed to "live" in $\mathbb{N}$, $\mathbb{Z}$, $\mathbb{R}$ or something else? | |
| Mar 3, 2018 at 20:17 | history | edited | Sam Weisenthal | CC BY-SA 3.0 |
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| Mar 1, 2018 at 22:27 | history | tweeted | twitter.com/StackStats/status/969338448678092800 | ||
| Mar 1, 2018 at 21:12 | vote | accept | Sam Weisenthal | ||
| Mar 1, 2018 at 21:12 | |||||
| Mar 1, 2018 at 20:54 | history | edited | Sam Weisenthal | CC BY-SA 3.0 |
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| Mar 1, 2018 at 20:24 | history | edited | Sam Weisenthal | CC BY-SA 3.0 |
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| Mar 1, 2018 at 15:34 | answer | added | user3767327 | timeline score: 2 | |
| Mar 1, 2018 at 15:17 | answer | added | ReneBt | timeline score: 7 | |
| Mar 1, 2018 at 14:46 | answer | added | David Dale | timeline score: 2 | |
| S Feb 28, 2018 at 22:55 | history | bounty started | Sam Weisenthal | ||
| S Feb 28, 2018 at 22:55 | history | notice added | Sam Weisenthal | Draw attention | |
| Feb 25, 2018 at 14:30 | comment | added | Sam Weisenthal | The informative feature part is reasonable, but not including an informative feature is not a bad thing, right? Suppose the distribution of $y$ over vectors with missing $x$ is completely different from the distribution of $y$ over vectors without missing $x$, eg, suppose the conditional distribution for missing $x$ is normal with variance 10 and the conditional distribution for present $x$ is normal with variance 1 | |
| Feb 25, 2018 at 13:32 | comment | added | Open Season | Think about whether the fact that the data is missing is significant or independent from the true (unreported) value of $x$. The fact that the data is missing might be an informative feature. Also: is the distribution of $y$ over those vectors with missing $x$ equal to the distribution of $y$ over vectors with other values of $x$, or over all vectors with non-missing values of $x$? | |
| Feb 23, 2018 at 23:10 | history | edited | Sam Weisenthal | CC BY-SA 3.0 |
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| Feb 23, 2018 at 23:02 | history | asked | Sam Weisenthal | CC BY-SA 3.0 |