Viewing a response to: @ropaga/re-jefpatat-re-ropaga-re-jefpatat-first-observations-of-my-rac-prediction-experiment-20170907t184556757z
No, that is not completely correct. The decay works as you explain it (I think, I have not yet looked at it in detail) But the build up is explained like that but doesn't function like that. It is explained as a low pass filter. Older values have less weight. The important difference is the point of calculation. It is like a low pass filter with 'random' sampling points. The calculation happens every time when a new result is available. There is nothing that calculates the RAC every day so there is no way to calculate it as you explain it. Reread the article observation 2 and 3. To clarify. Suppose you have one task that takes 13 hours. Today you will have one result, tomorrow you will have two, the next day one, ... The way you explain it will yield a different result than the way I explain it because you will have a different amount of calculation points.
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Got it. For adjusting the results to PoW reward, your experiment should monitor the RAC in the Gridcoin Neural Network. The tables you are showing are from the project page, right? The last time I checked neural network data seemed yo be updated once per day, but it was several month ago so I am not sure if that still works that way.
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Thanks for the info. That would be important for estimating PoR.
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