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Interpretation of the Predictive Uncertainty for descision making #11

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akashmondal1810 opened this issue Jul 13, 2020 · 0 comments

akashmondal1810 commented Jul 13, 2020

Hello,
In classification Is there any way to interpret the obtained Predictive Uncertainty? After computing the predictive uncertainty is there any way to calculate any threshold or cutoff value(as you have mentioned here:https://camo.githubusercontent.com/e78af0e93f0ea7cc80e38f7b9273486bbf6f37f6/687474703a2f2f7777772e63732e6f782e61632e756b2f70656f706c652f616e67656c6f732e66696c6f732f6173736574732f62646c2d62656e63686d61726b732f646961676e6f7369732e706e67) so that if the predictive variance is above that value we can say that the model is uncertain or below which it is certain about its prediction?
Uncertain if (predictive variance>=threshold) || Certain if (predictive variance<threshold)
How to compute this threshold!
Thanks!

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