Timeline for Classification on severe Class Imbalance high dimensional data
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 30, 2022 at 7:00 | comment | added | hillsonghimire | @MichaelHiggins Can you explain how I can implement your idea? | |
| Sep 14, 2022 at 18:38 | answer | added | Saandeep Sreerambatla | timeline score: 2 | |
| Sep 13, 2022 at 18:58 | comment | added | Michael Higgins | I have only seen class specific thresholding for multi-label problems. I think it's worth a shot though. When multiple classes are above their threshold, you need some method to choose between them. I would try picking the rarest one. Or some function of rarity+how far above the threshold you are. | |
| Sep 13, 2022 at 11:13 | comment | added | Dave | Class imbalance and evaluation of “classification” models have a number of common misconceptions that have minimal grounding in sound statistics. | |
| Sep 13, 2022 at 7:05 | comment | added | hillsonghimire | @MichaelHiggins, could you please explain more or provide some reference on how a threshold can be manually set for underrepresented classes? | |
| Sep 13, 2022 at 6:52 | comment | added | Michael Higgins | Instead of choosing the class with the highest confidence score, you could use some threshold for your poor performing classes. You will have to write some custom logic to deal with cases like multiple classes being above the threshold. | |
| S Sep 13, 2022 at 3:52 | review | First questions | |||
| Sep 13, 2022 at 8:28 | |||||
| S Sep 13, 2022 at 3:52 | history | asked | hillsonghimire | CC BY-SA 4.0 |