Timeline for perform Random Forest AFTER multiple imputation with MICE
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 19, 2016 at 17:33 | vote | accept | ching | ||
| Aug 18, 2016 at 20:21 | comment | added | Mohammad Ansarin | @ching, you're welcome! Glad to have helped. If it answers your question you can mark the question answered. | |
| Aug 17, 2016 at 16:00 | comment | added | ching | Hi Mohammad! Thank you for your answer!! Appreciate your help and time!!! Yeah that's what i was planning too. Pooling the results. since I split my data into a training and a test dataset it's a bit more work: first create 5 data sets with mice for the training data and build a RF for each of them. Then for my test data, build 5 test data set. For each RF model i will predict my test datas and pool them. And of course for each Model. In the end I will pool 25 predictions. Also thanks for you references!!! | |
| Aug 17, 2016 at 9:34 | history | answered | Mohammad Ansarin | CC BY-SA 3.0 |