Timeline for What is the difference between spliting the dataset into training and testing or collecting the training and testing data seperately?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Oct 13 at 20:02 | vote | accept | Hamzah Al-Qadasi | ||
| Oct 11 at 10:54 | answer | added | Robert Long | timeline score: 1 | |
| Jun 24, 2021 at 17:05 | history | edited | Hamzah Al-Qadasi | CC BY-SA 4.0 |
added 4 characters in body
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| Jun 24, 2021 at 11:49 | history | edited | Robert Long |
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| Jun 24, 2021 at 10:49 | comment | added | Hamzah Al-Qadasi | Yes, my test dataset should contain diverse, representative, and hard examples. Hard samples should be from all the classes. | |
| Jun 24, 2021 at 10:46 | comment | added | Dave | Are you sure? You make it sound like your test set is going to be especially hard. | |
| Jun 24, 2021 at 10:43 | comment | added | Hamzah Al-Qadasi | Yes, they should have the same distributions. | |
| Jun 24, 2021 at 10:36 | comment | added | Dave | Do you have the same distribution (population, not empirical) in both sets? It looks like the answer is that you do not, but I would like to hear your take. | |
| Jun 24, 2021 at 10:26 | review | First posts | |||
| Jun 24, 2021 at 17:43 | |||||
| Jun 24, 2021 at 10:20 | history | asked | Hamzah Al-Qadasi | CC BY-SA 4.0 |