Timeline for How to handle NaNs for ratio feature for binary classifier?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 25, 2018 at 6:13 | vote | accept | user3368526 | ||
| Jul 20, 2018 at 14:09 | answer | added | Ken Syme | timeline score: 1 | |
| Jul 20, 2018 at 13:48 | answer | added | Dan9ie | timeline score: 1 | |
| Jul 20, 2018 at 8:27 | comment | added | Srikrishna | Has anyone tried a different way to generate such features? Instead of customers per transactions, using <some scalar> + customer per transaction (with the NaNs imputed 0)? | |
| Jul 20, 2018 at 5:49 | history | asked | user3368526 | CC BY-SA 4.0 |