Timeline for Why is my SVM multiclass classifier only correctly predicting a few classes?
Current License: CC BY-SA 3.0
4 events
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| Feb 19, 2018 at 7:31 | comment | added | Stephan Kolassa | The problem may be that your classifier optimizes a different quality measures than "classifying all classes well". (Which would not be a well-defined quality measure, anyway, since there would always need to be trade-offs between classifying "easy" vs. "hard" classes.) This answer of mine on "Why is accuracy not the best measure for assessing classification models?" may be helpful. Unfortunately, I don't have the time to dig into this question, but voted to leave open. | |
| Feb 18, 2018 at 17:54 | review | Close votes | |||
| Feb 19, 2018 at 14:01 | |||||
| Apr 13, 2016 at 4:14 | review | First posts | |||
| Apr 13, 2016 at 4:44 | |||||
| Apr 13, 2016 at 4:10 | history | asked | blue_chip | CC BY-SA 3.0 |