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The general question is whether our results over 4.13.3 generalize to a deep notification as occured for 4.15 kernel.
We have dataset here: https://gitlab.com/FAMILIAR-project/tuxml-size-analysis-datasets
We have insights about tiny config 4.13.3 vs 4.15 (see #4).
Now we can address a couple of questions
- can we transfer prediction model of 4.13.3 to 4.15? (eg is it "just" prediction of 4.13.3 plus 5Mb?)
- are influential options the same?
- what is the accuracy of learning algorithms?
- do we need to perform additional measurements and perhaps more controlled experiments? (like reusing/shifting configs of 4.13.3?)
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