Hello, Martin!
Yesterday I was studied the new Granularity formula. If I'm not mistaken (I have a very basic math background) log function discriminates the Granularity resulting value hundreds of times, thus the Granularity influence onto the final result is much less.
I can hardly call it "a quantitative adjustment, and not a qualitative one." (Am I mistaken?).
Actually, I felt that the previous formula's Granularity's influence was too heavy - that is its influence was so big, that received Granularity overrides Recall + Precision effective results. Thus the better result is shown not by the better Plagiarism detection but with a lower Granularity value.
IMHO If I'm getting it right, the new formula much better presents the whole mathematical model.
I'm wondering what provoked you to the formula change? - Was it one of the submitted results analysis?
I would like to share some additional ideas about the Granularity value after the competition I I will manage to get to the conference in person.
The latest formula change will severely hit the teams that work on the Granularity optimization (instead of Recall and Precision)
(if there were such ones, of course). Still, I believe, that were 1-2 teams not more suffered from this change in case when I am correct.
Thank you in advance!
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Best Regards Yurii