Timeline for Adjust thresholds in multi-class classification
Current License: CC BY-SA 4.0
9 events
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| Jan 23, 2019 at 15:39 | history | edited | Scholar | CC BY-SA 4.0 |
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| Jan 23, 2019 at 15:32 | history | edited | Scholar | CC BY-SA 4.0 |
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| Jan 23, 2019 at 15:19 | comment | added | Scholar | @needRhelp see my updated answer. | |
| Jan 23, 2019 at 15:15 | history | edited | Scholar | CC BY-SA 4.0 |
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| Jan 23, 2019 at 14:38 | comment | added | needRhelp | Given that I have a dataset with the three scores which the model predicted and the actual class | |
| Jan 23, 2019 at 14:35 | comment | added | needRhelp | The question mainly is, how do I calculate the weights? Which algorithm do I use to find the weights so that I can say something like "With maximal 1% probability we will be predicting B though it is actually A" | |
| Jan 22, 2019 at 16:47 | history | edited | Scholar | CC BY-SA 4.0 |
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| Jan 22, 2019 at 16:05 | history | edited | Scholar | CC BY-SA 4.0 |
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| Jan 22, 2019 at 15:54 | history | answered | Scholar | CC BY-SA 4.0 |