Timeline for ML Models: How to handle categorical feature with over 1000 unique values
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Oct 6, 2018 at 23:39 | comment | added | n1tk | Can you provide a sample ? | |
| Oct 5, 2018 at 14:00 | 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. | |
| Sep 5, 2018 at 11:20 | answer | added | bradS | timeline score: 2 | |
| Sep 5, 2018 at 6:57 | history | edited | Stephen Rauch♦ | CC BY-SA 4.0 |
Minor formatting
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| Sep 5, 2018 at 6:14 | comment | added | redwolf_cr7 | Yeah, i agree with you. However, if i start doing that with all my categorical columns with too many unique values, im afraid i might be deleting a considerable chunk of the data. | |
| Sep 5, 2018 at 6:08 | comment | added | Mohit Motwani | I'm not sure if this is the right suggestion, but what if you could delete data/rows related to the values with very less frequency? For instance, these values appear only once/twice in your data set? | |
| Sep 5, 2018 at 5:50 | review | First posts | |||
| Sep 5, 2018 at 6:57 | |||||
| Sep 5, 2018 at 5:45 | history | asked | redwolf_cr7 | CC BY-SA 4.0 |