Timeline for Preserving / fixing class imbalance
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| May 30 at 17:08 | comment | added | healthydata | Good call, thanks for pointing that out. | |
| May 30 at 17:08 | history | edited | healthydata | CC BY-SA 4.0 |
deleted 124 characters in body
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| May 30 at 10:24 | comment | added | Dikran Marsupial | (but otherwise +1) | |
| May 30 at 8:47 | comment | added | Dikran Marsupial | "For example, when you have imbalanced data, likely you shouldn't be concerned with accuracy." is incorrect, whether accuracy is important depends on the needs of the application not the characteristics of the dataset. Imbalanced problems often have unequal misclassification costs, but that is not generally because of the imbalance, the two things just often go together, but it is the misclassification costs that matter not the imbalance. | |
| May 29 at 18:00 | history | answered | healthydata | CC BY-SA 4.0 |