Timeline for How to use random forest with large number of categorical features and categories?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 8, 2021 at 4:56 | vote | accept | anita shrivastava | ||
| Apr 7, 2021 at 17:06 | comment | added | rapaio | It will work for rf in the sense that they will be able to build trees. But for sure those trees won’t be optimal since you induce an ordering, otherwise not existing in data | |
| Apr 6, 2021 at 16:00 | comment | added | Jayaram Iyer | yes, you can follow the same for all features - for Random Forest models | |
| Apr 6, 2021 at 8:36 | comment | added | anita shrivastava | Can i do it with features also? Features are also strings and the sample size is 500,000. Hot-encoding will make it much complex. | |
| Apr 6, 2021 at 7:55 | history | answered | Jayaram Iyer | CC BY-SA 4.0 |