Timeline for How do I know which class has been difficult to learn for my multi-class model?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 6, 2022 at 18:36 | comment | added | shey | @cdalitz your answer did the job for me, thank you. | |
| Nov 14, 2022 at 14:27 | comment | added | Sycorax♦ | Compute the loss individually for each observation, then sum by class. | |
| Nov 14, 2022 at 12:49 | comment | added | cdalitz | Have a look at the confusion matrix and look for off-diagonal entries. | |
| Nov 14, 2022 at 3:46 | comment | added | shey | thanks, but how do I find the class with largest loss values? do having TP, FP, TN, FN values for each class play any role to the calculation? Or are there other straightforward methods? @Sycorax | |
| Nov 14, 2022 at 3:30 | comment | added | Sycorax♦ | Find the class that is poorly predicted by the model, for example, by finding the class with the largest loss values or highest error rates. | |
| S Nov 14, 2022 at 3:28 | review | First questions | |||
| Nov 14, 2022 at 5:33 | |||||
| S Nov 14, 2022 at 3:28 | history | asked | shey | CC BY-SA 4.0 |