Timeline for Feature selection in R too large dataset
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| May 6, 2017 at 3:15 | vote | accept | Dhruv Mahajan | ||
| May 5, 2017 at 8:40 | answer | added | hssay | timeline score: 2 | |
| May 4, 2017 at 19:58 | history | reopened |
Icyblade Dawny33 phiver Sean Owen |
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| May 3, 2017 at 15:45 | comment | added | famargar | Thanks. You can certainly do feature selection on 10-30% of your data - with your numbers I am assuming that would still amounts to tens of thousands of rows of data, more than enough to reliably do feature selection. I am not familiar with Boruta, my answer is driven by basic statistics. | |
| May 3, 2017 at 14:53 | comment | added | Dhruv Mahajan | I have 18 features. Dataset is about 150mb. I'm using R studio on a 8gb ram,6th gen i5 processor. | |
| May 3, 2017 at 10:39 | comment | added | famargar | I think it's a valid question. The OP is asking whether it's OK to use a subset of her/his data to perform feature selection - the question is pretty clear to me. BTW, please clarify how many features you have, and how large is your sample. The answer depends on these numbers. | |
| May 2, 2017 at 10:55 | review | Reopen votes | |||
| May 4, 2017 at 19:58 | |||||
| May 2, 2017 at 10:38 | history | edited | Dhruv Mahajan | CC BY-SA 3.0 |
added 412 characters in body; edited title
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| May 2, 2017 at 9:06 | history | closed | Sean Owen | Needs details or clarity | |
| May 2, 2017 at 7:56 | review | First posts | |||
| May 2, 2017 at 9:06 | |||||
| May 2, 2017 at 7:52 | history | asked | Dhruv Mahajan | CC BY-SA 3.0 |