Timeline for What is cross-validation for?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Jul 30, 2017 at 14:28 | vote | accept | D1X | ||
| Jul 12, 2017 at 1:05 | history | tweeted | twitter.com/StackStats/status/884941658264961024 | ||
| Jul 11, 2017 at 15:33 | answer | added | zlenyk | timeline score: 0 | |
| Jul 11, 2017 at 12:28 | history | edited | D1X | CC BY-SA 3.0 |
added 188 characters in body
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| Jul 11, 2017 at 10:57 | answer | added | gunakkoc | timeline score: 3 | |
| Jul 11, 2017 at 10:37 | history | edited | D1X | CC BY-SA 3.0 |
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| Jul 11, 2017 at 10:36 | answer | added | Łukasz Deryło | timeline score: 0 | |
| Jul 11, 2017 at 10:32 | comment | added | Nikolas Rieble | Crossvalidation is used to (A) efficiently use training data and (B) decrease the effect of randomness such as a single seperation of test and train data. Once you found the best parameters using crossvalidation on dataset 1, you will use the whole dataset A to train your model and finally evaluate it on a completely new dataset 2. | |
| Jul 11, 2017 at 9:57 | history | asked | D1X | CC BY-SA 3.0 |