Timeline for Missing Values In New Data
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 15, 2018 at 13:08 | answer | added | BellmanEqn | timeline score: -1 | |
| Oct 15, 2018 at 11:25 | comment | added | orrymr | I'm saying I'd create a model for each one of the predictors which could be missing. If I impute based on all data (like here: stats.stackexchange.com/questions/62015/…) then I'd need to append the rows with missing data and run the model each time, which is computationally expensive. | |
| Oct 15, 2018 at 11:25 | review | First posts | |||
| Oct 15, 2018 at 16:23 | |||||
| Oct 15, 2018 at 11:23 | comment | added | user2974951 | Why you need 5 additional models? You should impute based on all the available information, not split up your data. | |
| Oct 15, 2018 at 11:21 | history | asked | orrymr | CC BY-SA 4.0 |