Datasets:
How the stated 0.0208% interaction density was calculated
There is a quite crucial proporion number mentioned first in Basic Statistic section and later in the table (Configurable Subsets section).
I understand that with the ongoing competition the organizer probably would be wise to not reveal how it is computed exactly, but I hope when the test set will be released it will be clarified. For now, I can only make two assumptions and provide my reasoning. Maybe it would be useful for some of my competitors or maybe the organizer will give some hints so I structured it in two parts. If answering question B will reveal too much, then I appreciate even a simple Yes or No for the question A 😄
Question A: 0.0208% = the stated interaction density - is it some percentage of total table binary part {
like,dislike,share,bookmark,open_comments,click_on_author} interaction results?Question B: I have two assumtions so the question is if either of these is correct?
- If it is across all 6 columns of the binary table (
X / (6 * 40_774_024_903)) thenX ~ 4_240_498_589
- If it is across all 6 columns of the binary table (
- If it is across logical OR {
like∨share∨bookmark∨open_comments∨click_on_author} thenX ~ 848_099_718(as we assume thatX / 40_774_024_903 == 0.0208)
- If it is across logical OR {
where X denotes total non-zero (true) interaction results.