Timeline for How to apply a trained Random Forest model to a new data set in R?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 19, 2019 at 14:03 | vote | accept | Steven Cunden | ||
| Jun 18, 2019 at 13:13 | comment | added | naïveRSA | Hey I could not get from your question if you already have another dataset for 2019 and you want to label them. If that is the case then you can feed the dataset to Random Forest Classifier to get labels for 2019. But if you don't have anything about 2019 and you just want to predict, then you should look for 'time series analysis'. The one I use and love (because it can plot really cool graphs as well) is Facebook's Prophet library which can predict future based on recent observations. | |
| Jun 18, 2019 at 13:08 | answer | added | aranglol | timeline score: 1 | |
| Jun 18, 2019 at 12:39 | history | asked | Steven Cunden | CC BY-SA 4.0 |