Timeline for improving classification accuracy of the dataset as a whole by considering classifier distributions
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
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| Nov 26, 2018 at 16:39 | comment | added | thegreatemu | My actual problem has 5 (balanced) classes in it. I know there are many techniques for "optimizing" the bias or leakage of the classifier itself, but I am trying to figure out if there are standard techniques to account for whatever bias remains after that | |
| Nov 26, 2018 at 16:30 | review | First posts | |||
| Nov 26, 2018 at 16:36 | |||||
| Nov 26, 2018 at 16:28 | history | answered | Cas van den Bogaard | CC BY-SA 4.0 |